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Paper Citation Record · LEDGER

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration

As of 5 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2605.31196.

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

pith.paper-citation-record.v1
2605.31196 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:17:23.965554Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T11:11:39.584755Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T11:16:52.691444Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact13
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afc93be0-aec5-4324-b4dc-0ed66cee216c · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 1

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Observation 55c912e3-b36a-43c4-b0f6-01fcf8aea47d · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 2

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:a6c3ea5bb09da1db3c62ac18ba884620ed2793121ecb9cb29ba46c72e97ce505

Observation 34ac189a-f244-449a-ac58-39c17812b5d6 · outbound

This paper cites Vision-Language Memory for Spatial Reasoning.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Vision-Language Memory for Spatial Reasoning

Reference 3

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arxiv_id, observed 2026-07-10T02:19:33.841733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d49de948-0886-4f70-b526-a95930310974 · outbound

This paper cites ISO 10218-1:2011 Robots and robotic devices – Safety requirements for industrial robots – Part 1: Robots, 2011.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration ISO 10218-1:2011 Robots and robotic devices – Safety requirements for industrial robots – Part 1: Robots, 2011

Reference 4

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:de94a5bb33fd74a14c8e0f95f8e9d186831ec44528d8b67fbbfd18aa6b55df06

Observation 1699ffb0-3757-4259-a20a-ef72718746ca · outbound

This paper cites ISO/TS 15066:2016 Robots and robotic devices – Collaborative robots, 2016.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration ISO/TS 15066:2016 Robots and robotic devices – Collaborative robots, 2016

Reference 5

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Observation fd936aa8-6ad2-47da-8de1-601ba493d8e6 · outbound

This paper cites Sermanet, A.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Sermanet, A

Reference 6

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:c07e65f30675ccdfbac3f4aa70a150e4499f31db3427414fa91f8ffe2e7e3425

Observation 15e072d3-4ac1-4831-bfbb-0dec2233ec14 · outbound

This paper cites Can AI perceive physical danger and intervene?.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Can AI perceive physical danger and intervene?

Reference 7

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arxiv_id, observed 2026-06-28T23:22:47.361172Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 723787e6-f279-46ce-81a0-72816bbd490b · outbound

This paper cites Sultani, C.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Sultani, C

Reference 8

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:0e41480703c203d6237f61b84fc39482b2df9aeec79ea0a7bd215763eea6fe95

Observation 8a9974da-7d86-4aee-b2ae-abf97a06b49b · outbound

This paper cites Zanella, W.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Zanella, W

Reference 9

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:4f3b6ed2e2cdf458f26137358be5269547137a7d3679d75d64d39f2dc84158aa

Observation a8abd85b-21ab-4888-b00b-50d8bb0e32f2 · outbound

This paper cites Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain

Reference 10

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arxiv_id, observed 2026-07-07T03:18:10.074313Z

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Observation 12a309eb-1bcb-42dc-8c67-168dc2c40d07 · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 11

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Observation dd85a5c1-4a4a-47fb-85ff-2978a9bc795e · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 12

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Observation 30d1f9f7-04a5-4902-adb3-2daf209dcc8a · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 13

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local_arxiv, observed 2026-06-28T23:22:47.359170Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9fa94be5-20c6-4583-b1e5-6150afacbf22 · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 14

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Observation c0466990-f300-4ba2-a901-40fb288e9383 · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 15

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:8fc9ae0f83cabaeff5d741b1a138b07ecab5acbe63b5dd0d6175a7b02bfe8b5f

Observation b1cc8d29-f5bc-4802-934e-f56595de46b6 · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 16

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Observation 2f799adf-2e54-4bfb-a2e6-360e54fc1580 · outbound

This paper cites SafeAgentBench: A benchmark for safe task planning of embodied LLM agents.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration SafeAgentBench: A benchmark for safe task planning of embodied LLM agents

Reference 17

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arxiv_id, observed 2026-06-28T23:22:47.361845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation adc683ce-cc98-41db-85bb-90e2d1e3477c · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 18

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Observation b3e557fb-86b0-4a85-8ed7-9ab1f45ddf8f · outbound

This paper cites Agentsafe: Benchmarking the safety of embodied agents on hazardous instructions.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Agentsafe: Benchmarking the safety of embodied agents on hazardous instructions

Reference 19

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arxiv_id, observed 2026-06-28T23:22:47.350919Z

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Observation c5018350-c5f1-41fa-8b64-29d9bce339cc · outbound

This paper cites Responsiblerobotbench: Benchmarking responsible robot manipulation using multi-modal large language models.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Responsiblerobotbench: Benchmarking responsible robot manipulation using multi-modal large language models

Reference 20

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arxiv_id, observed 2026-06-28T23:22:47.342069Z

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Observation 0a99953a-a554-4999-a285-99bc4bab4bbc · outbound

This paper cites Safemind: benchmark- ing and mitigating safety risks in embodied llm agents.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Safemind: benchmark- ing and mitigating safety risks in embodied llm agents

Reference 21

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arxiv_id, observed 2026-06-28T23:22:47.345467Z

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Observation 9b36122a-d605-4e4a-aca5-64e03b8b767d · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 22

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:74dcb72c4df1762dab22fafbf5568a31d4aac4e63376ce3460c472257f36281e

Observation 576e75af-93e3-432a-9e84-cbd02a73a97c · outbound

This paper cites A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment

Reference 23

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arxiv_id, observed 2026-06-28T23:22:47.342342Z

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Observation d07331f9-65d5-4f6e-a59d-8b6ef8ee205d · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 24

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Observation 37471d6a-a8ee-4190-9da6-bb4d4c938387 · outbound

This paper cites Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Reference 25

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arxiv_id, observed 2026-06-28T23:22:47.336243Z

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Observation d59c7a0d-c6e5-47ea-84ba-61b6c9e139a9 · outbound

This paper cites Zhang, X.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Zhang, X

Reference 26

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Observation ff5115a1-93ad-4958-b771-f845fda77cda · outbound

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Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 27

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Observation c72a5703-4611-4481-b73b-8db4ae30dca6 · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 28

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Observation ea4ad50f-3976-4186-946c-b76f51e4a7b6 · outbound

This paper cites Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training

Reference 29

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arxiv_id, observed 2026-07-28T02:22:25.972283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 22c21883-e610-4ef8-9fe1-a90f43717f48 · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 30

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Observation 938dad32-c417-4d86-8d47-7d21f7a69297 · outbound

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Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 31

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:11a6887361f4d2c4f39521f1c3607100bf18d8ee99e313ea7183a5cf33464c33

Observation 2f520488-4e4c-42fc-86ae-5ca216ecc6cf · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 32

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:6789b6bbe6bf4f0aecef04226b927e09716151f9a3c114930cc16e8428ea837d

Observation 9c51168c-a7c0-44c2-b023-f835c09bd61b · outbound

This paper cites Zhang, D.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Zhang, D

Reference 33

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Observation b2e6faf5-e258-48d6-8ec1-335f73c71c09 · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 34

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arxiv_id, observed 2026-06-28T23:22:47.330354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 77076ab3-1a1a-4c1d-802f-3c8ffb03aa32 · outbound

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Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 35

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source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:a701da3216f99203c7b9c5d7aae499f5c9cdcfe8e9120039be34c36f782e3322

Observation 244d8bf6-20ba-42f2-a139-75d187aea648 · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Gemini Robotics: Bringing AI into the Physical World

Reference 36

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local_arxiv, observed 2026-06-28T23:22:47.330471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2e255e35-7b4b-4e0b-b2a6-f1379db045fe · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 37

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Observation ecbf6859-6185-4dd9-8dcd-4bac399300a3 · outbound

This paper cites GPT-5.5 system card.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration GPT-5.5 system card

Reference 38

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:cea108a1e410f286c8c7a297e181c9f5dfb6bb5f8f4a4ada0b3ac7df3f58a207

Observation 2c26e0b1-f7bb-4850-8af5-b12e4f3e8e18 · outbound

This paper cites Gemini 3.1 Pro model card.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Gemini 3.1 Pro model card

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T23:17:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:648321650a0f7740237f3241e916efb85232d20d123c75dafe2859310244ef1a

Observation f4c8b557-546a-4444-b334-472da8540a2c · outbound

This paper cites Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T23:17:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:178c1919db5fcbb65f16392880556337c315612f38d374597ae0688db44e27f2

Observation 0cb087a7-df04-476a-a216-6718e75822af · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-28T23:17:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:8e63a34103df806804c24ac1a5ec4cebfcb2a4555a4ad3489736bb5922c61d75

Observation 32aaa1ba-ce5f-485d-b4f6-0af72e863c9d · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-28T23:17:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:a4649aac0c29367299a2eedc0927989b15af8f041e2845f9377de77fc0b5ac47

Observation 43738ef0-88a4-4f10-9266-55191181d60d · outbound

This paper cites an unresolved cited work.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-28T23:17:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:7bdb1f738b9e8c04feef3a6061802de397be246c18ea98303487cdb1af2081aa

Observation 0f1ce212-3d84-4140-8c8f-0aee7e7b4038 · outbound

This paper cites Guiochet, M.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Guiochet, M

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-28T23:17:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:6d4cb8310f7afd21d63b6ecf71b96012235f20bf78b076b1d5dc7939e2efaf46

Observation ae8ca32b-9392-4938-a867-b8d89a879849 · outbound

This paper cites Failure pattern A brick wall fills the entire arm camera at step 103 (scene flags all True), yet themodel dismisses this because.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Failure pattern A brick wall fills the entire arm camera at step 103 (scene flags all True), yet themodel dismisses this because

Reference 45

Resolution
malformed identifier
no resolver link, observed 2026-06-28T23:17:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:17:23.965554Z digest=sha256:668b809c15eb12a99c2ec90a29216e37923b97b7a219fd5e38200716431cd6ae

Pith citing papers

Observation 5013aea9-dbfa-4bd6-a2fb-5b342f404f53 · inbound

ROSA: A Robotics Foundation Model Serving System for Robot Factories cites this paper.

ROSA: A Robotics Foundation Model Serving System for Robot Factories Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-02T11:16:52.692873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-02T11:11:39.584755Z digest=sha256:13f594a220c065a564579e70feb0d00d3955da3af29828720773e9e5b8f58692