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Paper Citation Record · LEDGER

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents

As of 15 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:1908.04929.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.04929 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:31:35.052903Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

74 of 74 outbound references displayed

  • verified exact0
  • verified fuzzy56
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c9af02e-a87e-4c8a-bb61-cacca44c7db1 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:36.194892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.742244Z digest=sha256:71c73726b3e4f18cb8f2645a03fc758159480b2098921cf4b061b20bf8529e32

Observation 6d1970b2-8917-40e3-91d5-252c01bc3bf0 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:36.182528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.746247Z digest=sha256:bfc11db1437989a6f2ea82f012fabfda4e148561aa4551ca7aecbecdfb71e4cb

Observation 4b945a1e-24ac-466b-913a-82ae178b3042 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:36.170892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.749987Z digest=sha256:ad22f541e830c3d3cad12fde8d479cb60721a2fb7effebed44baea0cdd4e4c7f

Observation aaa43d07-f4a6-48bf-b50f-897830f8e795 · outbound

This paper cites The claimed properties of environment models enhance the autonomy of intelligent agents.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents The claimed properties of environment models enhance the autonomy of intelligent agents

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:36.158332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.753589Z digest=sha256:1ea219fa299e57a42446853c3443efb677960f4887d8878950a8e9e4f7024300

Observation 6fba3699-8be3-478c-a2cd-ef8c734cabcc · outbound

This paper cites The two applications are under active research in computer vision [5], NLP [6], and robotics societies [7].

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents The two applications are under active research in computer vision [5], NLP [6], and robotics societies [7]

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:36.146759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.757632Z digest=sha256:f12c81278f49a94dbb321c1e5d1fca82548e95df776def93a8aa391b6dc705a9

Observation e79d4d6e-096c-4a69-a8a2-713ff8844f52 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:36.132416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.761534Z digest=sha256:9ac2df5da743d9fb3768c082ec1b3938ba7c8886cf1ae9cc0e8246fee9f50b0f

Observation 43fba1f5-593d-4e13-b362-77a1adc34ff9 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:36.108855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.765102Z digest=sha256:815a6daa7f6a611d93d9a85764eec239e9976f503ff43429544d271c87048e92

Observation f3828d0f-4d79-461c-9537-f3a03eed0bd1 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:36.088777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.768912Z digest=sha256:d654ee2ca5b760afd822a9bd130f082963c3b54a647f0344cf0275ea7aa0947e

Observation c0f6f591-dd52-4a8f-8a13-65ce8fe4f3f3 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:36.065696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.772761Z digest=sha256:837836b5274d971f4900191b9331989e0900c672d6006140120368958dcd843a

Observation 07f0f89f-6157-410c-82d1-7c309cfd0209 · outbound

This paper cites The remainder of this paper is organized as follows.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents The remainder of this paper is organized as follows

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:36.047925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.776690Z digest=sha256:f15f9b5c03ebbb73d8f5c379f52fea8ae94efd76c53cdc96922269127dc5777a

Observation 1f265540-fec7-4e7c-b989-744bb7e10a8b · outbound

This paper cites The keyframe determines the first anchor frame and the coverage of the keyframe group.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents The keyframe determines the first anchor frame and the coverage of the keyframe group

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:36.027284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.781237Z digest=sha256:0251567596be388fc47fb572b2e74ec6a6dc127293f9550c07c103c5c6083306

Observation 84fbcc41-b3a0-4d10-bc3a-a5a41f547d89 · outbound

This paper cites Only the latest anchor frame is active and the active anchor frame determines the next anchor frame.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Only the latest anchor frame is active and the active anchor frame determines the next anchor frame

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:36.010427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.785762Z digest=sha256:1799149e2a00b0c34800a64cd0290269cb6746f1a22353800fe10617058e1643

Observation 84ca5a38-71d3-465c-b43b-389251621929 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.991959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.791072Z digest=sha256:af899c53b689f5be739a8acc5ec4e46f44d567d076aca3e40444aac5ab1293b0

Observation 10c8ee29-31da-4c7b-83d8-71c37438f288 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.976638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.795937Z digest=sha256:37a03c426b3af4bb4e1dfe2e986f1cada2c301abcac61ac33e80869bfc062eb5

Observation f1ee40f5-68ef-43a4-b861-363f353656ce · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.957879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.800508Z digest=sha256:3358784b1a99044df180fcd3443d6622bf5094e2dcc03a076e70d9a34444a369

Observation fe299206-42c6-42b7-ad81-3e3726834068 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.944973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.804660Z digest=sha256:d43834d675795eb3cbdb7938f6bfac4267b992a9124b80c9fcc2c562b96a53c7

Observation 28ec7c0f-df75-4746-b05f-f74c63dffdeb · outbound

This paper cites On the other hand, the following lists the types of relations an edge could stand for.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents On the other hand, the following lists the types of relations an edge could stand for

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.929306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.809055Z digest=sha256:8c08c21b13202a0439bd543cd047d03bdc528e4fbe8e73f638d9a6dab493e0c7

Observation ea265259-31d0-4f39-a9c2-7937d72ac170 · outbound

This paper cites This article has been accepted for inclusion in a future issue of this journal.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents This article has been accepted for inclusion in a future issue of this journal

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.913804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.812919Z digest=sha256:25c936cc91e11c72e4b75b1ac6964baa4c408670169fe94f9ae6d9cbb0e26152

Observation 03979511-bec3-435b-871c-847726e501f8 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.896523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.816857Z digest=sha256:fc00a322f6c16f29fb6d230cf1e2dd5b6526b5aebed0e547d36331aac3cc9305

Observation 7fea1cf5-2404-42fd-953f-43c206c8c8d3 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.879988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.821468Z digest=sha256:d21c510bdccf9474ff1193d217c765af3126e3b7e09a4d8bf7183bdebfaea5bf

Observation 447e5f52-0c06-439c-9631-d10b1054ec53 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.865115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.826142Z digest=sha256:6aeb948d8baf74cc25c41f04af5f661ec228a9039cdbcb4c196aea38a723e228

Observation 8ce69ab5-0823-4ba7-89db-680a4d3e644e · outbound

This paper cites As one object is subjective and the other is objective given a pair of objects, the edges in 3-D scene graphs are directed (the subjective objects point at the objective objects).

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents As one object is subjective and the other is objective given a pair of objects, the edges in 3-D scene graphs are directed (the subjective objects point at the objective objects)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.853077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.830209Z digest=sha256:c7f2fff0d40610d3a4922a4ca413079d99422a74ddef56becd1b3cda700ffc7b

Observation ccb19015-9d74-4a04-af5f-46a4f76f55f2 · outbound

This paper cites In the process, we assume independent identically distributed for each dimension, x, y, and z, and keep the number of points used for the evaluation.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents In the process, we assume independent identically distributed for each dimension, x, y, and z, and keep the number of points used for the evaluation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.839443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.834161Z digest=sha256:7bdc719a6909c9bf8ec29d57ab6730329a604692900cec512d854503896da3d0

Observation e4f9c8aa-b0b2-44c4-8be1-1b73c1cb1fd0 · outbound

This paper cites We utilize the following features for the same node detection: object label, 3-D position, and color histogram.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents We utilize the following features for the same node detection: object label, 3-D position, and color histogram

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.823978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.838323Z digest=sha256:52fea43f332825bab3254f50b60bff8e6a7aec9aaf6d47e4c337330a678504c2

Observation 78f3abe0-4b0b-4738-a66b-861e83183aac · outbound

This paper cites Upon receiving image frames, local 3-D scene graphs are generated and merged to the global 3-D scene graph.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Upon receiving image frames, local 3-D scene graphs are generated and merged to the global 3-D scene graph

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.809155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.843205Z digest=sha256:a1bfb3f92a6943628d19f3fffc8a80735ed88752a671ef3eae887deb9027a6c9

Observation 774e9afd-84b5-42e8-ba8b-1e4e38f18fcf · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.795294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.847322Z digest=sha256:b2651dd057ad30de80cdf409209bc2591222def54ee6605e1ef966d738e30838

Observation 681ee4ef-74e3-4788-a340-80dad1383b12 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.779056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.851324Z digest=sha256:ca64206d87ed3a157e20948e32fe2f4ba8fb102dd9136c7c218fb89a3aafcfad

Observation 89cc6b40-dae0-463f-8794-588450fd4a84 · outbound

This paper cites an unresolved cited work.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:31:35.764576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.854844Z digest=sha256:f9a7a474f424d48de5663685a156799ae3df2cd4197466421470316b7cb93d0e

Observation e377e58a-a349-4ac7-9fc2-b9e67b03fc7f · outbound

This paper cites The above-listed questions can be easily converted to a query- form (machine readable form) even when asked in a free-form and open-ended manner by employing a few NLP algorithms.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents The above-listed questions can be easily converted to a query- form (machine readable form) even when asked in a free-form and open-ended manner by employing a few NLP algorithms

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.749723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.859043Z digest=sha256:af2cbc1db027984ddbccb309d8d91f097c5dc3775686f70cc827b5088c4ee6cb

Observation a486bbaa-c0c6-41a4-a494-f32a6bf73f5c · outbound

This paper cites The problem description contains the information regarding the categories and states of objects and the goal definition.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents The problem description contains the information regarding the categories and states of objects and the goal definition

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.733652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.862656Z digest=sha256:c9db02874a866578088876fac6ff51119aebbff981411b3fa228b81eeebc110a

Observation 4e2a71b5-a9d1-4bd2-b709-8fb0f5fd2278 · outbound

This paper cites ScanNet consists of 1513 sequences, which were collected using one type of RGBD-sensor.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents ScanNet consists of 1513 sequences, which were collected using one type of RGBD-sensor

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.711466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.866153Z digest=sha256:4dc0e1fd052a07ef9b928d4bda95521ae5039e80e23067e89fb6a0c6233684ee

Observation e025220b-443e-48c9-b82f-364766b6c168 · outbound

This paper cites We used the extended versions of base scene graph generation algorithm (F-Net) [17] as baselines (see Table I).

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents We used the extended versions of base scene graph generation algorithm (F-Net) [17] as baselines (see Table I)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.693138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.869395Z digest=sha256:b99b932473fc3e7bc3258d81d91d0eb865df7720c3f1569e3351ca3a3771cac6

Observation 59236f0e-622f-4356-995c-2f1e51c0c0b3 · outbound

This paper cites We recruited six experiment participants (age: 22–35, male/female: 5/1) and gathered six responses for each graph.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents We recruited six experiment participants (age: 22–35, male/female: 5/1) and gathered six responses for each graph

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.673946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.872852Z digest=sha256:38dfbe6b11d3a694e9395893080f41a930d2bfe27d0c31f2a2ba3b347dc76db6

Observation 95af9ddb-5cf6-45d0-a3e2-d9667efc5add · outbound

This paper cites We used Intel Core i9-7980XE CPU@2.60 GHz and Titan XP for the experiment.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents We used Intel Core i9-7980XE CPU@2.60 GHz and Titan XP for the experiment

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.661178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.880517Z digest=sha256:ddfb2691b224cbabececdafaeec5b48d623154ebab2cd797f4f3d07fef0d6b5c

Observation 3c48a95a-94e8-4bcb-8ab1-49908442ec7e · outbound

This paper cites 4 shows the resulting 2-D and 3-D scene graphs for the experiment sequence with the first keyframe group and Table II reports the quantitative result of the comparative study.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents 4 shows the resulting 2-D and 3-D scene graphs for the experiment sequence with the first keyframe group and Table II reports the quantitative result of the comparative study

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.649047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.884170Z digest=sha256:b19e46f8d148ed20b24b1396c331bafd4570ce0a7a91e4c683196efefb40735c

Observation c000401c-207c-4d0c-b0c1-4e159ba99429 · outbound

This paper cites The kitchen simulation environment models the actual kitchen environment, so that the 3-D scene graph from the actual kitchen can be directly used in the simulation.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents The kitchen simulation environment models the actual kitchen environment, so that the 3-D scene graph from the actual kitchen can be directly used in the simulation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.625648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.888188Z digest=sha256:cc09ebf6e3ea00a928aabebc02b34b00c9a85164bda8242d62f899450763390c

Observation 072b042a-49c4-486d-9541-cbd5cad4e1f3 · outbound

This paper cites In the first phase, human scans through the actual kitchen and a 3-D scene graph is constructed for being used in the simulation.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents In the first phase, human scans through the actual kitchen and a 3-D scene graph is constructed for being used in the simulation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.611156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.891814Z digest=sha256:4080e9c56474ed8f0aa19e8ea438a2c7c15df76a39c76cb1eed9f90bec7d3f79

Observation a2b4c600-4ca9-4239-9195-22b11eb6d73b · outbound

This paper cites 5 shows the demonstration process.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents 5 shows the demonstration process

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.598293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.895103Z digest=sha256:ef85895d10921b3fb4625e4d5eb313fb95a2630aa4600f2b31f719ddfd637b0b

Observation b104a4f0-0271-429c-b8ed-c2257870cfaf · outbound

This paper cites R EFERENCES.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents R EFERENCES

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.583781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.899167Z digest=sha256:22c05bcc736a15b54f9ce82b790b0f22c8d5dae0c90d73a71c47c28a8c165c56

Observation 0334e363-6581-497c-adcf-ed1337880cfe · outbound

This paper cites Moveit! [ROS topics],.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Moveit! [ROS topics],

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.565669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.902574Z digest=sha256:ce09bf862bbc055e4b8410ae395b9c404a7c4ea0065ff32eaeec8cab0c9fb8c0

Observation c539c7a2-7a19-4601-aa69-6e5a834192c7 · outbound

This paper cites Semantic 3D object maps for everyday manipulation in human living environments,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Semantic 3D object maps for everyday manipulation in human living environments,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.553959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.905992Z digest=sha256:85021387d4e310316d9123d9d253a03b41c0867b0139cd1c3cb68e6a37605e50

Observation 05d5841a-f250-432e-9bec-83c646bbd2c8 · outbound

This paper cites Elasticfusion: Real-time dense SLAM and light source estimation,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Elasticfusion: Real-time dense SLAM and light source estimation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.539735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.910924Z digest=sha256:547eaacac2fac10657b9a864125ed111174a1661f2c9cb7935f37c1ae49870f4

Observation 99db394b-ed8a-4ced-a434-e384e4aeb3ef · outbound

This paper cites Show and tell: Lessons learned from the 2015 MSCOCO image captioning challenge,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Show and tell: Lessons learned from the 2015 MSCOCO image captioning challenge,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.524735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.915057Z digest=sha256:cc28dd7bd76407a79c0add7e9970ba6f565b1526c2d4862671b48f98440d5bc6

Observation c3550932-a3d2-4753-8097-bfac9c910a73 · outbound

This paper cites VQA: Visual question answering,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents VQA: Visual question answering,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.506717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.919883Z digest=sha256:f91944719a536d3f4cefd7a0a8ffbdcbfa4468264164318f4d029d89512af0c0

Observation a5f0a2d6-9413-4c35-aabc-180d2c4870e6 · outbound

This paper cites Ask me anything: Dynamic memory networks for natural language processing,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Ask me anything: Dynamic memory networks for natural language processing,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.493068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.925550Z digest=sha256:f78326eb6faca21a5067819c047ecf16df9d5bf77e57a37fabb30071de0c85e9

Observation eeac6fcc-e776-4c74-a50b-bb8da61cc4b4 · outbound

This paper cites Robot task planning and explanation in open and uncertain worlds,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Robot task planning and explanation in open and uncertain worlds,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.477035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.930182Z digest=sha256:efeb6d0e590ad1840b5a38c2bf3d31437f4d31b0bc0a8d91b898dd2f7a26a20d

Observation f7d356bc-250d-4d8c-a361-eab90f58b578 · outbound

This paper cites Bundlefusion: Real-time globally consistent 3D reconstruction using on-the-fly surface reintegration,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Bundlefusion: Real-time globally consistent 3D reconstruction using on-the-fly surface reintegration,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.462544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.934259Z digest=sha256:1ab99254dd3703f3cc0ca7174d6a60e3ad710c87cf39190187d739e86a877d35

Observation 99ae38bb-14da-4d99-ba77-ba9ce9c80951 · outbound

This paper cites 3D is here: Point cloud library (PCL),.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents 3D is here: Point cloud library (PCL),

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.445393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.939740Z digest=sha256:ac7e2ae68a5fabcd4626ffae47bd5a25edaf3643b76401bfbbdc296c1eb5d2f0

Observation 1beca56e-ac8e-4586-91fe-80206ee36f8a · outbound

This paper cites Grid-based map- ping and tracking in dynamic environments using a uniform evidential environment representation,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Grid-based map- ping and tracking in dynamic environments using a uniform evidential environment representation,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.431706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.943836Z digest=sha256:fe20ce52c7fe6f77153cb357973c41b7256144718f4d1e48b4c5d7af54bd6d69

Observation 4af06a0d-ce87-46ab-810c-daa6d7e68445 · outbound

This paper cites OctoMap: An efficient probabilistic 3D mapping framework based on octrees,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents OctoMap: An efficient probabilistic 3D mapping framework based on octrees,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T13:31:34.948969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:31:34.948969Z digest=sha256:b02e82a441ce1606a900b1987c216f3d87d2948d750d803b0cb70f493c4ead32

Observation 89f6974e-aca2-49e9-aa36-c63587af283c · outbound

This paper cites SemanticFusion: Dense 3D semantic mapping with convolutional neu- ral networks,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents SemanticFusion: Dense 3D semantic mapping with convolutional neu- ral networks,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.410013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.953376Z digest=sha256:58099aa55d98204390a7763e46babf4ecd4b7c9506f3aa875cf96f5dba0b13bc

Observation 6a880b77-06cf-4c37-ba83-13b1f839086e · outbound

This paper cites PointNet++: Deep hierarchical feature learning on point sets in a metric space,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents PointNet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.391805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.957397Z digest=sha256:8757ebd0e92eb187a53dcea892399e10d634b2e5f9bf99f9fe698752b964d1e9

Observation d6587845-584d-415d-85b2-bc2f5045f237 · outbound

This paper cites Video captioning with transferred semantic attributes,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Video captioning with transferred semantic attributes,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.375250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.961374Z digest=sha256:ccfdf741a2767264258b0f4258d9152150b6b6ecf348f187a7751b75f6dac823

Observation 975ab6e7-e0fe-413f-a42a-b50308a3ad1a · outbound

This paper cites Scene graph generation by iterative message passing,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Scene graph generation by iterative message passing,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.360053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.965166Z digest=sha256:7eb9236ddd9add7c8e37356dc6c5999e6ee8082200822203083eaac8f5db5999

Observation 59c66c89-15f7-43e2-a652-83dec44601a5 · outbound

This paper cites Scene graph generation from objects, phrases and region captions,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Scene graph generation from objects, phrases and region captions,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.347283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.969512Z digest=sha256:a4e3356212d9d9ec2212cfc932d7dcc6673e3875251ec42a0e3a8ceced2577db

Observation 845f9d7c-951b-4698-a80f-d265e98a5e32 · outbound

This paper cites Factorizable net: An efficient subgraph-based framework for scene graph generation,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Factorizable net: An efficient subgraph-based framework for scene graph generation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.334838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.973662Z digest=sha256:4b86865721024f7991b6ea045f4f282b9432b2daa430e8a2cdfb34c9568d0732

Observation eac5b310-3806-4ff5-9de1-8debeac8c111 · outbound

This paper cites Image retrieval using scene graphs,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Image retrieval using scene graphs,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.322143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.978015Z digest=sha256:b386375c80317b15535526f161db959014758369a6f76f38e92d03f21955ea02

Observation a1aff235-5034-412f-bd7c-f105d441524b · outbound

This paper cites Learning spatial knowledge for text to 3D scene generation,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Learning spatial knowledge for text to 3D scene generation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.308778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.981904Z digest=sha256:894946e9148985dfb6d375d32226febf351d16e73281a5f7d07d0d3290c98ea7

Observation db6a751f-ba08-4fb4-b78a-35206f1183dd · outbound

This paper cites Graph-structured representa- tions for visual question answering,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Graph-structured representa- tions for visual question answering,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.295220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.986711Z digest=sha256:da18e5c930ec03a59cec1351b7e6a7b0d368bf2bc01a4bc167ea68d870ba8a20

Observation 35aa8cd5-7d9c-4414-81af-5e07ab0f3b94 · outbound

This paper cites Faster R-CNN: Towards real- time object detection with region proposal networks,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Faster R-CNN: Towards real- time object detection with region proposal networks,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.278496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.990749Z digest=sha256:6b749dcae03af669a0390f1ca675fd8aac0d72d6bf22698d417214ea4f4b1cf5

Observation a4cf5d3e-220c-4c1c-890d-3597ed50b793 · outbound

This paper cites Distributed representations of words and phrases and their composi- tionality,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Distributed representations of words and phrases and their composi- tionality,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.266440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:34.996141Z digest=sha256:8af7645bb371775942f1187956d9cc3aa512a4a6da0a1d953a1d866f0f52656e

Observation a8e73fd4-16ca-400f-a3d6-ff06b8fd8fe2 · outbound

This paper cites Efficient non-maximum suppression,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Efficient non-maximum suppression,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.256201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.000020Z digest=sha256:5c2d1fc562b516ac54214e627d05484fa39a33bd683195b9005e1106ba27c950

Observation abef22c0-e216-4ea0-a99f-b1ed90572194 · outbound

This paper cites Visual Genome: Connecting language and vision using crowdsourced dense image annotations,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Visual Genome: Connecting language and vision using crowdsourced dense image annotations,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.245289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.008604Z digest=sha256:d5122951d92bc18ed8f74218c0a33b7f3a4b26ba4d85f8fef1d9899cb1f59e77

Observation 4ca5c3b7-c60e-4c50-b84e-9b44b7e7e9ba · outbound

This paper cites Histogram-based color image retrieval,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Histogram-based color image retrieval,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.233891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.013125Z digest=sha256:ac0949aff47724c4ec4899ff9601181f5afd241ec9dc0bd734f91b7c69b99167

Observation aacb2142-01e7-4fcf-b979-0db5e105da6f · outbound

This paper cites Ff: The fast-forward planning system,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Ff: The fast-forward planning system,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.220806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.017871Z digest=sha256:d3c1065e29ed739e77a47ee8d3402b3c2a15e5c9446509e059131480ecd0f5ce

Observation 2e3ac5d9-0b58-4e95-958e-5e1363112fa2 · outbound

This paper cites PDDL2.1: An extension to PDDL for expressing temporal planning domains,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents PDDL2.1: An extension to PDDL for expressing temporal planning domains,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.207010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.022540Z digest=sha256:9027a9556472291296e1839fcf1dfc36c5efd6f04cfb4602cda39b45a49ef09c

Observation 6dee8ec8-3ce4-40ed-96c4-9a9bf1c374de · outbound

This paper cites Scannet: Richly-annotated 3D reconstructions of indoor scenes,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Scannet: Richly-annotated 3D reconstructions of indoor scenes,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.192839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.026761Z digest=sha256:1e5048ad30feb143c205356bc91209f8545f77c4a08991b0db1d71f5dbb91ee5

Observation cefe1a1c-7efe-41bb-b1b4-7bf4c7de296b · outbound

This paper cites Cheap and fast— But is it good? Evaluating non-expert annotations for natural language tasks,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Cheap and fast— But is it good? Evaluating non-expert annotations for natural language tasks,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.179633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.030561Z digest=sha256:8fb908257ba6f0e73998cc55b8790a215b9138b63aebf20d7e4f3a4838d1db72

Observation 419b6c22-6199-47b8-8b6f-dfd9c42c0ac0 · outbound

This paper cites Realization of task intelligence for service robots in an unstructured environment,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Realization of task intelligence for service robots in an unstructured environment,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.167322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.034761Z digest=sha256:6e707d808760b26fc1428a41f205f27fcb5a4d0fead35c25ea4a8aa514dfdb4a

Observation f0e699fd-8046-4efa-a85c-87709ebac87a · outbound

This paper cites Fuzzy integral-based gaze control of a robotic head for human robot interaction,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Fuzzy integral-based gaze control of a robotic head for human robot interaction,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.155102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.038455Z digest=sha256:09fffbd0217ed35167f06192fce87c5557f55e506c39aa82f6c0d296e07b3d8c

Observation 0e244945-e273-4594-94c2-96d05cc52b66 · outbound

This paper cites Hierarchical emotional episodic memory for social human robot collaboration,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Hierarchical emotional episodic memory for social human robot collaboration,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.142314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.042105Z digest=sha256:9dc309c7f606c31dd9e1a1ad9adc30c9754d650c67297e40c7e81406cd472841

Observation 7283db1d-70ec-4ede-9d81-3a40766c9178 · outbound

This paper cites Webots: Symbiosis between virtual and real mobile robots,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Webots: Symbiosis between virtual and real mobile robots,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.128631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.045488Z digest=sha256:7fb09a1c136b076a23332272c17e68e37f10f447d6d085638c7a72084e7ddff5

Observation 5a7daca0-1422-4d08-89a9-9bf952c4c559 · outbound

This paper cites ROS: An open-source robot operating system,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents ROS: An open-source robot operating system,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.114701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.048945Z digest=sha256:bfef92bfb808acfad149e32e15a78584e32291833a5afb0784bddc0129690a50

Observation 5fde52d1-a5ee-4835-92a9-270342e76f4a · outbound

This paper cites Hyperface: A deep multi- task learning framework for face detection, landmark localization, pose estimation, and gender recognition,.

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents Hyperface: A deep multi- task learning framework for face detection, landmark localization, pose estimation, and gender recognition,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:31:35.099520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:31:35.052903Z digest=sha256:81785a5e592b412292200eef990de0e20187d612eaedb5607dccf75a67a19545

Pith citing papers

No inbound Pith citation observations are available.