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Paper Citation Record · LEDGER

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2508.01240.

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

pith.paper-citation-record.v1
2508.01240 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:45:38.770844Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:46:01.640951Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:46:01.672860Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04cc7867-73b0-48a8-b928-96f09679e08e · outbound

This paper cites GPT-4 Technical Report.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-06T05:45:38.537629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.537629Z digest=sha256:3ffa2d1b4d152382d51c4f6bb45f045f583a9d354fafa939a1a453f87c56a13b

Observation 4d643d59-6c60-4dab-9f7f-98a7bb5e3f85 · outbound

This paper cites PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models

Reference 2

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no resolver link, observed 2026-08-06T05:45:38.543370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.543370Z digest=sha256:aa74ea87b1440f25536f47c601e1ba4b2586488e549668d666dc550213c5867a

Observation 623fbc83-a5a5-48b3-9f33-bcc16060b6d5 · outbound

This paper cites PaLM 2 Technical Report.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation PaLM 2 Technical Report

Reference 3

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no resolver link, observed 2026-08-06T05:45:38.548860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.548860Z digest=sha256:8aa3c9d175ef6b00b5f161c5fe4b362821ab34d3dd610ffa96b5b60cfa976cbd

Observation 26ca1dcd-b97a-4e62-8ea6-9ee776fb5132 · outbound

This paper cites Qwen Technical Report.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Qwen Technical Report

Reference 4

Resolution
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no resolver link, observed 2026-08-06T05:45:38.554870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.554870Z digest=sha256:f09206b329b9cac29e6c4f340ee789bb355bcbeced4595712103596703468e8d

Observation 8f595139-a240-4146-98bf-e92e54e714b1 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.560067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.560067Z digest=sha256:72625133e714f3a90d57492f260e2f1c108cd2530d1a4266f26b0bc582a4aa71

Observation 867882e8-4b62-4624-9074-a3feada12cb0 · outbound

This paper cites Lan- guage models are few-shot learners.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Lan- guage models are few-shot learners

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.750876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.565422Z digest=sha256:74fbdbf01b1634f6aa8b31b9216bab75305fdc642f42e7b8d0c36cf20dae150c

Observation f90cc1d6-5648-41ae-8174-1e86d754376e · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation ShapeNet: An Information-Rich 3D Model Repository

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.570509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.570509Z digest=sha256:4ba736242b1d0441591037eb76f503c1de628e2d87b91e8f9d5c85e0cbd0b152

Observation 78b1de70-5467-4c51-b8fe-aa9a5543ef67 · outbound

This paper cites Meshxl: Neural coordinate field for generative 3d foundation models.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Meshxl: Neural coordinate field for generative 3d foundation models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.734143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.575255Z digest=sha256:f319ed6cfb8af3eac24b8cb284733a5f43a68f9cf68a543add8dcd756c34ffd5

Observation c1e7341d-4f26-4756-93bf-f18184a23ffe · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 9

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no resolver link, observed 2026-08-06T05:45:38.580625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.580625Z digest=sha256:6fcf2a0354d4a428380df301c8b13ce2a16ec51b9a09910182e4caff51d19ef1

Observation 5badad51-c37e-45f5-bec2-d609aaf41339 · outbound

This paper cites MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.585449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.585449Z digest=sha256:a7546bcf944d845f1154e8f4eb5243943e30d31ed6ac5573f760be3a4a2db012

Observation 5e925ff8-b268-424d-b8ae-7eea895f29de · outbound

This paper cites Grounded 3D-LLM with Referent Tokens.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Grounded 3D-LLM with Referent Tokens

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.589840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.589840Z digest=sha256:3342907b88d3e4a46a95f926d499ad2a01e694e738aea74b332dceb74254dc89

Observation f81b1166-9c08-47ed-b19a-5c4f30efd97e · outbound

This paper cites Sdfusion: Multimodal 3d shape completion, reconstruction, and generation.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Sdfusion: Multimodal 3d shape completion, reconstruction, and generation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.718583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.594673Z digest=sha256:31c1dc529a166cf3fad3568a3b2fe36b9aa899ee92eac1a79b9aba13e2b2708e

Observation 65e6dd90-b4de-44cc-babe-66330a43c109 · outbound

This paper cites Palm: Scaling language modeling with pathways.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Palm: Scaling language modeling with pathways

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.702671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.599082Z digest=sha256:dc6ebd9a6ed6760c3dc5a24b90e1c549003bd804a0d932006123e29ddb883fd8

Observation 8cfcf504-7b94-4c4d-a06f-78b37019f8dc · outbound

This paper cites Scan2mesh: From un- structured range scans to 3d meshes.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Scan2mesh: From un- structured range scans to 3d meshes

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.686511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.603676Z digest=sha256:e24a6747f62913deab0a545638ac51f897303737426ee860a8c93c24d142571c

Observation 2c2281a4-fadb-4605-b9ca-bdfd66197036 · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Objaverse-xl: A universe of 10m+ 3d objects

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.668918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.608371Z digest=sha256:943f34bea2616c4b6979908ddd9c28d4f50cbb4c2212112f1a0b638a3130c6b0

Observation 23fab474-014c-4c0d-a97c-b1901f4e0d40 · outbound

This paper cites Meteor universal: Lan- guage specific translation evaluation for any target language.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Meteor universal: Lan- guage specific translation evaluation for any target language

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.650865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.612760Z digest=sha256:4e7b544e40c8f8ce8e62c4165c88893cd0ff8c6f33f4d25a36fa6778455d93d0

Observation b8770e5b-b7e5-4c71-a91d-6a5ca985a3a0 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 17

Resolution
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no resolver link, observed 2026-08-06T05:45:38.616904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.616904Z digest=sha256:a1581b11047dcdd51c644271f23d06fc0b7bcc2f41df454da6f113b004e23916

Observation 2d1e2dcf-5d0a-4844-a0d3-3d4f306d8a20 · outbound

This paper cites Hyperdiffusion: Generating implicit neural fields with weight-space diffusion.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Hyperdiffusion: Generating implicit neural fields with weight-space diffusion

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.635030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.621277Z digest=sha256:259628f1250e21300b766cde92ba33e64b82eef863efb93f117d09d05ce69d43

Observation 4a6547c9-08b1-4a8b-a20f-f09061c85dde · outbound

This paper cites Efficient implicit sdf and color recon- struction via shared feature field.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Efficient implicit sdf and color recon- struction via shared feature field

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.618465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.625284Z digest=sha256:bce75b86855926e1d79d410ead5f4a567c25574b45459ceb222918a15b084609

Observation dc09ace7-2d2a-45ef-be9b-1483fa58b6be · outbound

This paper cites Chat- edit-3d: Interactive 3d scene editing via text prompts.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Chat- edit-3d: Interactive 3d scene editing via text prompts

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.599135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.629626Z digest=sha256:841f51ca13c6fde3a3a3e89f3ad5da4d6c9b4c75c303e0d10601d97d793705d3

Observation b1d44cf8-b1e4-4177-8246-abba49c066db · outbound

This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Reference 21

Resolution
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no resolver link, observed 2026-08-06T05:45:38.633998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.633998Z digest=sha256:59f79b38827fe2f72596d7b7b05190c8bec54da38eea39c733b73f90f7f49f62

Observation a1e837bd-5e5a-4609-be56-c8b62a576ea8 · outbound

This paper cites Worldgpt: Empowering llm as multimodal world model.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Worldgpt: Empowering llm as multimodal world model

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.581312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.638576Z digest=sha256:8cb234392755dfe902a64dea9eff49bf727a7e05c1bf16bf704fb9cdd0bfe88c

Observation dd237c0e-cfad-4d7c-9880-ec91fcfa84e4 · outbound

This paper cites Imagebind: One embedding space to bind them all.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Imagebind: One embedding space to bind them all

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.563507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.642866Z digest=sha256:73aa5936cfb51ef5eeb6467caf67049fb4c3e098eca99f72817be604981bc357

Observation a87fa4dd-5b96-48bd-896c-3617102bf6b8 · outbound

This paper cites The llama 3 herd of models.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation The llama 3 herd of models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.546258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.647156Z digest=sha256:c8f53c4b9a1e6370eb2b8a7a87375c939753087eadc7026798644a9f6ee7f2a9

Observation cca53cf1-425a-48e8-8ac5-e88eb0c7b2ed · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 25

Resolution
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no resolver link, observed 2026-08-06T05:45:38.651899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.651899Z digest=sha256:ff067d928662b1f1f437c152debf318e1b4033d49e2582085e758d2ac29c048d

Observation 024d5114-7247-4ace-a7d7-45e71e900995 · outbound

This paper cites Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.656582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.656582Z digest=sha256:1d65a5b1d5a87e2570c8298b7e206aa6bee040bf37ce770d12673b599bea6530

Observation 6f2fb864-b4ae-4289-a3a0-1343200cc09b · outbound

This paper cites 3DGen: Triplane Latent Diffusion for Textured Mesh Generation.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation 3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.661297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.661297Z digest=sha256:343158ddd4f73b09a0f3c4a715237e94976775c2c859908ecae53b9d6a169612

Observation 756191ab-70f9-4763-a163-52090507df3e · outbound

This paper cites Audioclip: Extending clip to image, text and au- dio.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Audioclip: Extending clip to image, text and au- dio

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.529704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.665980Z digest=sha256:afbca3316a85b7e024c457eec3ceb3b3c3a7eae68b97402250895c10294f2991

Observation fed2f8c3-a64a-4ef0-b8c8-84aeade43efe · outbound

This paper cites Y2seq2seq: Cross-modal repre- sentation learning for 3d shape and text by joint reconstruc- tion and prediction of view and word sequences.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Y2seq2seq: Cross-modal repre- sentation learning for 3d shape and text by joint reconstruc- tion and prediction of view and word sequences

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.513344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.670498Z digest=sha256:262c8abe3c86ceafd690d53bc52e5a26dca75250f31c787f84a5546839af8f48

Observation 1e50921b-dfd5-44cb-94bb-e441d3e2a3a6 · outbound

This paper cites Shapecaptioner: Generative caption network for 3d shapes by learning a mapping from parts detected in multiple views to sentences.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Shapecaptioner: Generative caption network for 3d shapes by learning a mapping from parts detected in multiple views to sentences

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.495879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.675045Z digest=sha256:47b54431b7bbf30c5f99cb5a3732f6a49edd4bf73bee87d72406b62ff7e8b720

Observation afc97a0e-0d84-48be-9b0c-7c72f8682401 · outbound

This paper cites Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.679838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.679838Z digest=sha256:ede715d95edb0a9ba2a43ecdcaebe47128f5a4d2b20e0100dad0eec4397b9d9a

Observation 01c9576f-7e8f-4b27-87de-ca6b5dd0d8cb · outbound

This paper cites Training Compute-Optimal Large Language Models.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Training Compute-Optimal Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.684629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.684629Z digest=sha256:3800098ae875b1cadcad7be8dacf83b12f590b530848353d8d55944d51638ce1

Observation 10b5b683-6556-48de-b602-40ce8c1bd1bd · outbound

This paper cites 3d-llm: In- jecting the 3d world into large language models.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation 3d-llm: In- jecting the 3d world into large language models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.689476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.689476Z digest=sha256:b37eb24264981a4eaee4e4934bdf1c60ca3b84726d6f96e63716116f7a70083c

Observation 9a40a5e8-15f3-4c90-ab90-a4526715f210 · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.469366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 80efeff8-fb4a-4086-aa48-27e94f2eddf2 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Shap-E: Generating Conditional 3D Implicit Functions

Reference 35

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Observation ae8c2534-a36a-4b3d-a063-b11107b87cee · outbound

This paper cites Scaling Laws for Neural Language Models.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Scaling Laws for Neural Language Models

Reference 36

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Observation 1104e021-bfc5-44cb-85ae-139d501e011d · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation 3d gaussian splatting for real-time radiance field rendering

Reference 37

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unresolved
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source=pdf_text observed=2026-08-06T05:45:38.709313Z digest=sha256:3c0da738cc2d2a2c35e73b03a3e551a92b430a8f1ff45a8ce1fe5f5c105d6084

Observation 70cea43d-3187-4362-9e1f-1b19582f99ff · outbound

This paper cites Audio-llm: Activating the capabilities of large language models to com- prehend audio data.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Audio-llm: Activating the capabilities of large language models to com- prehend audio data

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.442978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.713539Z digest=sha256:bfb4d5bc96dc39254edb6869f7a36b767bd71b81130bd43c11613d0b9022245b

Observation 2d338fa4-b501-4c3b-b7a2-fd64b939acfe · outbound

This paper cites Acoustic prompt tun- ing: Empowering large language models with audition capa- bilities.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Acoustic prompt tun- ing: Empowering large language models with audition capa- bilities

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.425665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 27c9d86f-0376-4266-876d-ec8da126921e · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Rouge: A package for automatic evaluation of summaries

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.408958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8096205a-31d6-481d-9531-4de14f30a09c · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 41

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source=pdf_text observed=2026-08-06T05:45:38.728766Z digest=sha256:f1a861303b4045241cbf1a5aaefc48d0f0c13ad60cb2b37f78fb8be857b6c0f3

Observation 5653680e-c4a3-4483-86bc-c09a7c1455c5 · outbound

This paper cites DeepSeek-V3 Technical Report.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation DeepSeek-V3 Technical Report

Reference 42

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unresolved
no resolver link, observed 2026-08-06T05:45:38.733868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.733868Z digest=sha256:50eda37ad86f1a87dd9299a586e87584fdf22bbe51d775f963c8bb359c5de8fe

Observation 4371b97e-8f4a-4135-8e2e-3dfb4791d2e5 · outbound

This paper cites Visual instruction tuning.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Visual instruction tuning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.391584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.738219Z digest=sha256:699ea01f89bbbd93038ce4279b90f1c2477c653effc3ecac32d0c26ef493bdf9

Observation 52e5da1c-fd50-4272-949f-474755729f61 · outbound

This paper cites Improved baselines with visual instruction tuning.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Improved baselines with visual instruction tuning

Reference 44

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unresolved
no resolver link, observed 2026-08-06T05:45:38.743067Z

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source=pdf_text observed=2026-08-06T05:45:38.743067Z digest=sha256:a41aac98ab78c6736a15e448af8861348ea9d2dda7831b0a0ee5f73e2f4e4889

Observation dbf01a7c-af15-46e5-98e4-3eac7b73c72c · outbound

This paper cites Music understanding llama: Advancing text-to- music generation with question answering and captioning.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Music understanding llama: Advancing text-to- music generation with question answering and captioning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:45:40.363809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:45:38.750922Z digest=sha256:6da456009694a6a13fdec542505ce911018b45860c5354eed2616b740ffebf96

Observation 2679e3f4-eefe-4265-99c5-85fe5cce8102 · outbound

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

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.756274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.756274Z digest=sha256:80af422984e4fa01d35f042746b4c5ff19dd85f7112fe253c9f20415fcfe4b4d

Observation 1801414c-0ec0-48a6-9ab4-e77097ef2e41 · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:38.760557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:45:38.760557Z digest=sha256:20d9b58db5b16fb8aef3b6ab32c65681de6983856fa82741a9c52c5e4b75368c

Observation 5f4ec235-9714-4da5-a3a4-fe41f23a4f14 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 73

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source=pdf_text observed=2026-08-06T05:45:38.765382Z digest=sha256:3df5bc35895f76189e3008c2ae37c101996f91d7e392ef4775c0b5b0dd58ceff

Observation ac92f713-35bd-400e-975c-05b583266285 · outbound

This paper cites VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation.

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation

Reference 74

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source=pdf_text observed=2026-08-06T05:45:38.770844Z digest=sha256:3aba792ee90500fd73c7a3263c7f949ab296a3bf5e79591eed6b93fb5fa26262

Pith citing papers

Observation b2287272-b649-41a7-bfa0-0c5f39427491 · inbound

NarraGuide: an LLM-based Narrative Mobile Robot for Remote Place Exploration cites this paper.

NarraGuide: an LLM-based Narrative Mobile Robot for Remote Place Exploration RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:46:01.679655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:46:01.640951Z digest=sha256:99c133ee7121b740e0b827579302a5e38deaa405129a731d88924ec65b05bfd8