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Paper Citation Record · LEDGER

LiLMaps: Learnable Implicit Language Maps

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2501.03304.

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

pith.paper-citation-record.v1
2501.03304 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:59:44.871416Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abe2bfd4-d181-42b7-9074-b52de0996682 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

LiLMaps: Learnable Implicit Language Maps Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T21:59:44.500475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:59:44.500475Z digest=sha256:8a7bb19416a8c3ca44a2c1a7a53bb2991249302754213a8a51595d247bb983b0

Observation fe150cfe-648a-43ea-b7ca-0983358a8753 · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments.

LiLMaps: Learnable Implicit Language Maps Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.493963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a70e891d-497a-43de-9d4f-a6bbc5d5733f · outbound

This paper cites CodeSLAM – learn- ing a compact, optimisable representation for dense visual SLAM.

LiLMaps: Learnable Implicit Language Maps CodeSLAM – learn- ing a compact, optimisable representation for dense visual SLAM

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.467973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9513f1c3-b559-43c9-99d0-728e25af8964 · outbound

This paper cites nuScenes: A multi- modal dataset for autonomous driving.

LiLMaps: Learnable Implicit Language Maps nuScenes: A multi- modal dataset for autonomous driving

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.444238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.523930Z digest=sha256:0b8e65a50dafd947d491397cc50f94ddf458138d9bbf9e92649eaa34db4c4f21

Observation 3f2d0f09-8e9a-4b11-abc3-dd68fc33db9d · outbound

This paper cites Matterport3D: Learning from rgb- d data in indoor environments.

LiLMaps: Learnable Implicit Language Maps Matterport3D: Learning from rgb- d data in indoor environments

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.416708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e5baabce-207b-4bd4-9caf-8d6417cc98e3 · outbound

This paper cites Open-vocabulary queryable scene representations for real world planning.

LiLMaps: Learnable Implicit Language Maps Open-vocabulary queryable scene representations for real world planning

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.391089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 61c0b4f4-487c-4c44-876a-08718790482f · outbound

This paper cites Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding.

LiLMaps: Learnable Implicit Language Maps Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T21:59:44.546361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:59:44.546361Z digest=sha256:a5cd230b5759adbd9f530357794a3bd6ef441ef2d026228351dabc4e3f27d997

Observation 4bc17a9c-1fcf-46fb-b9e5-4a7ad1e5ed4b · outbound

This paper cites Chang, Manolis Savva, Maciej Hal- ber, Thomas A.

LiLMaps: Learnable Implicit Language Maps Chang, Manolis Savva, Maciej Hal- ber, Thomas A

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.365441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.553561Z digest=sha256:5091e8bfa6f84b6d617c6d196d32f688b29dcc042709088dbc9a7c88ab7848bb

Observation 58e6e917-0863-480b-9dd5-601baaf79c0e · outbound

This paper cites Plan-Seq-Learn: Language model guided RL for solving long horizon robotics tasks.

LiLMaps: Learnable Implicit Language Maps Plan-Seq-Learn: Language model guided RL for solving long horizon robotics tasks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.333915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.559157Z digest=sha256:360b875c012b6b2922bb5603f9c812749aa5890ef73f670a68582cd5ec58efb3

Observation f090a8a4-2f4b-4337-a561-718da4efeaf2 · outbound

This paper cites Scaling open-vocabulary image segmentation with image- level labels.

LiLMaps: Learnable Implicit Language Maps Scaling open-vocabulary image segmentation with image- level labels

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.283247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 63fab552-4cbb-4799-a067-f08f6209efc7 · outbound

This paper cites Semantic Abstraction: Open- world 3D scene understanding from 2D vision-language models.

LiLMaps: Learnable Implicit Language Maps Semantic Abstraction: Open- world 3D scene understanding from 2D vision-language models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.255723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 63b9ee81-abf8-4285-bf48-48439bae45ea · outbound

This paper cites an unresolved cited work.

LiLMaps: Learnable Implicit Language Maps Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:59:46.221635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation eb3c13c0-6476-443c-a0a5-b75012f904c2 · outbound

This paper cites Bridg- ing the gap between learning in discrete and continuous envi- ronments for vision-and-language navigation.

LiLMaps: Learnable Implicit Language Maps Bridg- ing the gap between learning in discrete and continuous envi- ronments for vision-and-language navigation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.189653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.585166Z digest=sha256:0a4b09d07860ba9df3c013a08123f7dbfb53eb418b521e51dc6c56d5073603a7

Observation 9bb9343b-f5d3-4eb7-bb70-d899ef7d6e3a · outbound

This paper cites Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.

LiLMaps: Learnable Implicit Language Maps Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:59:44.591612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:59:44.591612Z digest=sha256:566fc47a584bf78bbf3083e2b650b4d6fdc094f0376e7c3acaef35af6b64d3f5

Observation 2210cf5b-dd7a-42f9-907d-71c40273f225 · outbound

This paper cites Visual language maps for robot navigation.

LiLMaps: Learnable Implicit Language Maps Visual language maps for robot navigation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.163431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.605242Z digest=sha256:5e67f6542ca266ce0d7f750d8a495f386e6db0fc569af1959cbc6b49865b73be

Observation cdf512ed-e406-4b5e-af5b-d4f0ba4f66b9 · outbound

This paper cites Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B.

LiLMaps: Learnable Implicit Language Maps Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.125750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 20377502-452d-4612-bc17-25d2b068976f · outbound

This paper cites 3D Gaussian splatting for real-time radiance field rendering.

LiLMaps: Learnable Implicit Language Maps 3D Gaussian splatting for real-time radiance field rendering

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.082619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a9d4988a-c90b-42f9-acdf-5bfec5768e1f · outbound

This paper cites LERF: Language embed- ded radiance fields.

LiLMaps: Learnable Implicit Language Maps LERF: Language embed- ded radiance fields

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.045415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7ab1862c-f2ae-4252-a204-e060452872cd · outbound

This paper cites Segment any- thing.

LiLMaps: Learnable Implicit Language Maps Segment any- thing

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:46.019458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f61c87d0-d98f-40d5-b377-39ce593e8aee · outbound

This paper cites Weinberger, Serge J.

LiLMaps: Learnable Implicit Language Maps Weinberger, Serge J

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.990643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 92dd6967-0667-4ab0-a016-98b09671be01 · outbound

This paper cites GS-Octree: Octree-based 3D Gaussian splatting for robust object-level 3D reconstruction under strong lighting.

LiLMaps: Learnable Implicit Language Maps GS-Octree: Octree-based 3D Gaussian splatting for robust object-level 3D reconstruction under strong lighting

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.964624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7e37c0eb-c315-4baf-ad47-a447ab0c23cb · outbound

This paper cites Per-pixel features: Mating segment-anything with CLIP, 2023.

LiLMaps: Learnable Implicit Language Maps Per-pixel features: Mating segment-anything with CLIP, 2023

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.938107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0301abbc-1955-4239-b1ee-0a182ee51536 · outbound

This paper cites Interactive language: Talking to robots in real time.

LiLMaps: Learnable Implicit Language Maps Interactive language: Talking to robots in real time

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.915644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2899e741-610c-4a38-8c62-c81007bd0090 · outbound

This paper cites Gaussian splatting SLAM.

LiLMaps: Learnable Implicit Language Maps Gaussian splatting SLAM

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.893522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8fe6a8d7-1461-4bfd-987b-4b20e9d52e33 · outbound

This paper cites Feature- realistic neural fusion for real-time, open set scene under- standing.

LiLMaps: Learnable Implicit Language Maps Feature- realistic neural fusion for real-time, open set scene under- standing

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.872544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.682712Z digest=sha256:8de46c33c3caa42ee5f0eed7c28987ebc6a404a3036257ad4eecf9e22719fc2e

Observation 63acff62-2651-4221-b7c9-4d8e6e06c943 · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view syn- thesis.

LiLMaps: Learnable Implicit Language Maps NeRF: Representing scenes as neural radiance fields for view syn- thesis

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.655284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.689407Z digest=sha256:7ca7c756d819f687f37b3d1a517afaeac9297c13cd823a47a30e1a2a04b6ef9a

Observation 66254545-eae9-47b4-9bf6-ec4f8610f20e · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

LiLMaps: Learnable Implicit Language Maps Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.634127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.697851Z digest=sha256:18514ed073fcbdab90af77622e8e98e5c2072b90dccf9ec50a95c804199637f0

Observation b3ed6e2d-ff54-4e00-a4c4-e78664da21f0 · outbound

This paper cites NeRF-VO: Real-time sparse visual odometry with neural radiance fields.

LiLMaps: Learnable Implicit Language Maps NeRF-VO: Real-time sparse visual odometry with neural radiance fields

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.616144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.710032Z digest=sha256:b131fb2012033501d0146ba12754a8bff4d0367a2b3f7a9b29ee1debbfe88cb1

Observation 9dd16b95-e38b-4b0a-9a6f-c4823e8032e3 · outbound

This paper cites Foundation Model based Open Vocabulary Task Planning and Executive System for General Purpose Service Robots.

LiLMaps: Learnable Implicit Language Maps Foundation Model based Open Vocabulary Task Planning and Executive System for General Purpose Service Robots

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:59:45.094506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.717499Z digest=sha256:25f38d42bed169fe975f2db545ffb7e34f84ec5643503f5e4b5456d915d292fe

Observation a811c018-f96d-4d63-a024-23fd8bb92832 · outbound

This paper cites iSDF: Real-time neural signed distance fields for robot per- ception.

LiLMaps: Learnable Implicit Language Maps iSDF: Real-time neural signed distance fields for robot per- ception

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.598729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.726441Z digest=sha256:a5aadcad1cea1e1165ec36506c4b4e7f6b049a035327cdb7255812bb3a421eb8

Observation d27f8d6e-9738-4d50-9bf6-741b97dfba53 · outbound

This paper cites OpenScene: 3D scene understanding with open vocabular- ies.

LiLMaps: Learnable Implicit Language Maps OpenScene: 3D scene understanding with open vocabular- ies

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.579506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.732304Z digest=sha256:6fca3657a29b6bda6aff84599ea0996e2c788c01c01f1b2c13c35ce57a659b25

Observation 9bf8974a-5485-494f-879c-e493506acf45 · outbound

This paper cites LangSplat: 3D language Gaussian splat- ting.

LiLMaps: Learnable Implicit Language Maps LangSplat: 3D language Gaussian splat- ting

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.556273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.742756Z digest=sha256:e89f8b8a3e01180daaa400d04c93ce04ee92ea6489db0fb669a0695cfcc32010

Observation 4d27041b-68b9-4cc1-99d1-34eba865f468 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

LiLMaps: Learnable Implicit Language Maps Learn- ing transferable visual models from natural language super- vision

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.527094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.750747Z digest=sha256:3c8243e4e5ea34ce082700dc42525891164429542b690eb3fd75b813342e996d

Observation 8a97e20c-75ec-4abc-9239-f55e0b504f8c · outbound

This paper cites Planning with large language models via corrective re-prompting.

LiLMaps: Learnable Implicit Language Maps Planning with large language models via corrective re-prompting

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.485339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.758866Z digest=sha256:89602b9a3f673982161c5a737dc139fe9671604bdda89513166af449504a90a3

Observation b7127a73-72af-4ba1-a2a4-2ebfb11b136d · outbound

This paper cites Per- ceptual grouping in contrastive vision-language models.

LiLMaps: Learnable Implicit Language Maps Per- ceptual grouping in contrastive vision-language models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.456277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.765944Z digest=sha256:738e46dc7f31c501ad3453ea0be5f960c723159ba35fd75924de05e1af30f142

Observation 2711539b-5b9a-4160-acea-a64a71ecdbba · outbound

This paper cites KiloNeRF: Speeding up neural radiance fields with thousands of tiny MLPs.

LiLMaps: Learnable Implicit Language Maps KiloNeRF: Speeding up neural radiance fields with thousands of tiny MLPs

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.429982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.772634Z digest=sha256:63b7d532f41b927358c586b9c2e6c716b9feb34ac12479ec923da4ba276266a1

Observation 8584046b-cac6-4974-b8f1-4f7bea7141a3 · outbound

This paper cites LLM-Planner: Few-shot grounded planning for embodied agents with large language models.

LiLMaps: Learnable Implicit Language Maps LLM-Planner: Few-shot grounded planning for embodied agents with large language models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.399661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.783645Z digest=sha256:dd8bf9388c83d6508f9bf73d0c0f5b21e70b2fad7ad2e8ce2771c9207986dd9b

Observation 548f517d-8990-48a4-b2b5-f7b57a3d0925 · outbound

This paper cites iMAP: Implicit mapping and positioning in real-time.

LiLMaps: Learnable Implicit Language Maps iMAP: Implicit mapping and positioning in real-time

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.361456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.793859Z digest=sha256:aa4177e1a49becce27f9a31e8184085e915627aaa9af2dcbdb7780d882c06a49

Observation 87b542b6-9fa4-4bed-a64e-db20e2e95c2c · outbound

This paper cites Neural geometric level of detail: Real-time rendering with implicit 3D shapes.

LiLMaps: Learnable Implicit Language Maps Neural geometric level of detail: Real-time rendering with implicit 3D shapes

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.337500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.804123Z digest=sha256:f9d6d52043205b745e3854c439a92d5f1201b77ad05d33ed8e8fc6b97d16ce49

Observation 9c639663-723c-4d45-81fa-3c1f346660f9 · outbound

This paper cites GO- Surf: Neural feature grid optimization for fast, high-fidelity RGB-D surface reconstruction.

LiLMaps: Learnable Implicit Language Maps GO- Surf: Neural feature grid optimization for fast, high-fidelity RGB-D surface reconstruction

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.308300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.813352Z digest=sha256:cee48431ff0e99c0a7f66bedadfd0a2ef7a1588f1c1ca0851303d1eae72cb19f

Observation d9da122b-f01f-485c-a532-2a4f825e9bd8 · outbound

This paper cites SAM3D: Segment Anything in 3D Scenes.

LiLMaps: Learnable Implicit Language Maps SAM3D: Segment Anything in 3D Scenes

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T21:59:44.820692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:59:44.820692Z digest=sha256:0d6999bca4cc3698bfb50e29156759d6ae7cb22eaef34f5cd00114ae259c31fd

Observation 8e5672d1-2fe5-4f8d-af10-06ed166a5055 · outbound

This paper cites ILabel: Interactive Neural Scene Labelling.

LiLMaps: Learnable Implicit Language Maps ILabel: Interactive Neural Scene Labelling

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T21:59:44.831373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:59:44.831373Z digest=sha256:8464cb060603c154d28a50872efde827298d0ad74f4a4f81d58af6aae52ce819

Observation 16c9c8f8-87b2-420c-9eef-9b0e3a433df9 · outbound

This paper cites SHINE-Mapping: Large-scale 3D mapping us- ing sparse hierarchical implicit neural representations.

LiLMaps: Learnable Implicit Language Maps SHINE-Mapping: Large-scale 3D mapping us- ing sparse hierarchical implicit neural representations

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.277910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.844529Z digest=sha256:8133a68ca240bbe068fc83203e852377f25a07c2b7143aaf60da987d9e3f082a

Observation a75fad54-f54d-4241-acf7-847dffa99b5b · outbound

This paper cites LoopSplat: Loop Closure by Registering 3D Gaussian Splats.

LiLMaps: Learnable Implicit Language Maps LoopSplat: Loop Closure by Registering 3D Gaussian Splats

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T21:59:44.852791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:59:44.852791Z digest=sha256:894ebed7801779679e7de373210190199007996a591648a44c2b456245f48be9

Observation 1e05be6b-3d5a-4bca-b4c3-3bceef1d558c · outbound

This paper cites SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM.

LiLMaps: Learnable Implicit Language Maps SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T21:59:44.864275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:59:44.864275Z digest=sha256:814a7d36ecbced6ff7dae2fe3d92bc60a18af47380c6006c9fad94e70a057adb

Observation 00faaf54-6354-4ace-ad55-371013d8029f · outbound

This paper cites NICE-SLAM: Neural implicit scalable encoding for SLAM.

LiLMaps: Learnable Implicit Language Maps NICE-SLAM: Neural implicit scalable encoding for SLAM

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:59:45.251123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:59:44.871416Z digest=sha256:44f1bb9d752eefb3c97d8156f9d5dd70cdbb0ea3015d4147cc6f3b58b7728f66

Pith citing papers

No inbound Pith citation observations are available.