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Paper Citation Record · LEDGER

Foundation Models in Robotics: Applications, Challenges, and the Future

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2312.07843.

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

pith.paper-citation-record.v1
2312.07843 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:35:17.878324Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:21.443454Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 48bb1fd0-89fe-4281-813e-e007b900ea1a · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

A Survey on Vision-Language-Action Models for Embodied AI Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:25:54.409274Z

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=2026-05-24T01:25:10.150459Z digest=sha256:3e95c9c54222a3c28b5e1b9d6ab9e4c97937b9f04edcaf68867561e21fed1cd9

Observation 139278df-99b6-40eb-a47c-9edd3f968590 · inbound

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:25:18.147968Z

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=2026-05-16T08:25:17.847571Z digest=sha256:dccc0b01b5a9fdc0e245fcfe58da4710318b05237346ff1a3f86578d84fbf4d3

Observation 228ad79d-3886-4d18-93fc-c7ef5db979b8 · inbound

Large Language Models for Multi-Robot Systems: A Survey cites this paper.

Large Language Models for Multi-Robot Systems: A Survey Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:32.104413Z

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=2026-05-23T04:32:05.138744Z digest=sha256:45a636e028095c69ee43186f377e0e24e592ee16783aec84a4fe7d541d74be53

Observation adb62bd7-2af9-46bf-8332-0ccd657c53e6 · inbound

RoboBERT: An End-to-end Multimodal Robotic Manipulation Model cites this paper.

RoboBERT: An End-to-end Multimodal Robotic Manipulation Model Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T13:35:17.878324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:35:17.878324Z digest=sha256:735cbd00975b39b45801f96b1c85e7a3925be70001a90516ccd80ad868699f28

Observation 262fe0d2-39e4-4fb9-83af-816448dca926 · inbound

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning cites this paper.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T10:21:13.931543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.931543Z digest=sha256:8bf11f0a9fe948a741c8627880c8b1e590c8c8a4631507f9ecbaae591027e7a8

Observation 5c2bc97e-5099-4d5f-a048-f7d04c57ed39 · inbound

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation cites this paper.

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:53.510632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:53.510632Z digest=sha256:efce5f6d54aa3a108ff6de72b7093868e59f5d7d2e626bf0479c86a70c643bec

Observation 88b368df-86a6-4071-9d79-ccc7858f8f91 · inbound

Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control cites this paper.

Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:06:24.779808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:06:24.779808Z digest=sha256:5e34a781eca8880487334d42b465d9f6515eb37bccff401287d4a158e4376372

Observation c438bc18-ce78-4ad9-b9c3-820b9979621c · inbound

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research cites this paper.

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:17.005221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:17.005221Z digest=sha256:38ff64d3e1462763f97816b3cb89f19105a38a8ba32e44edebae62c54254a015

Observation 6de6e3ff-3790-4354-a455-e104a1e34e46 · inbound

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity cites this paper.

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T23:43:17.034898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:43:17.034898Z digest=sha256:000709e7168c63fee3b877e379facfbe6328836c831c4f7e76d0fecb0c057b6f

Observation 00c595d3-bd61-4520-a412-b6d065e6b865 · inbound

Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection cites this paper.

Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:29:30.100079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:29:30.100079Z digest=sha256:b1a7dcabf985d29ee4b809db0dc303704ea95ab16d831e62309fdae40131ed99

Observation bee55508-9a6f-46aa-8173-94ca2b9a3178 · inbound

INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models cites this paper.

INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T12:59:13.850404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:59:13.850404Z digest=sha256:00ad73c95c3e2fb05812fe26e70818aff2e05b9130381d3b87bfeb2bbd4a72f1

Observation 1ebd936a-671a-4405-a45f-45db79f6d1ee · inbound

Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies cites this paper.

Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:19:58.020550Z

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=2026-05-15T11:18:36.479092Z digest=sha256:dcbd3197f13a58903b18f4e51f48be4a61ab2562d06de66b4ea7a6b640daf178

Observation 8d9970ae-9333-498d-81f1-50121e53980c · inbound

KITE: Keyframe-Indexed Tokenized Evidence for VLM-Based Robot Failure Analysis cites this paper.

KITE: Keyframe-Indexed Tokenized Evidence for VLM-Based Robot Failure Analysis Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:55:51.612128Z

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=2026-05-10T18:47:25.412497Z digest=sha256:5a0e8c1a60ed4647af82b45f60b7d6ba0345cb64e77bdf4139c0a1ce8fec20e9

Observation c7cb0b46-57d8-4e41-a62c-f0388822a3d6 · inbound

SemiFA: An Agentic Multi-Modal Framework for Autonomous Semiconductor Failure Analysis Report Generation cites this paper.

SemiFA: An Agentic Multi-Modal Framework for Autonomous Semiconductor Failure Analysis Report Generation Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:45:57.499382Z

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=2026-05-10T16:32:20.798765Z digest=sha256:1213983a8eb798bf29107bb50a233ce600918e52787f2027d55bc70af745c174

Observation 985f8ce7-0e1e-4681-a9d0-732936ced165 · inbound

Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents cites this paper.

Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:05:25.028386Z

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=2026-05-10T13:02:45.029951Z digest=sha256:21c46fc5aae19162e9803e120d7c3462827f63ac4ccc9da3cedd39cfdd01333f

Observation 275e1012-f36a-4213-b470-01f5e9af548e · inbound

Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents cites this paper.

Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T20:36:59.298711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:36:59.298711Z digest=sha256:d92e0e57e3a79212e6c1dfa369a2d82912877cc1f97b71fa87aa7a5909c30ab5

Observation ea182bba-b665-429e-aa30-82f854786551 · inbound

Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic cites this paper.

Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 128

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:38:01.127223Z

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=arxiv_source observed=2026-05-14T21:33:43.740593Z digest=sha256:f7e9e2043b15244b1c929bdc774f6e23c841758c4c7a532dd51f6b1e0605512a

Observation fa244fa8-a5de-4549-9918-696a4611d0e5 · inbound

Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic cites this paper.

Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 128

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:05:01.960540Z

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=arxiv_source observed=2026-05-15T05:03:14.358407Z digest=sha256:aae7004958bdcaad41ff24c9e339437354e07fd7c33ae6e53da23c235aec25ec

Observation 98633036-e7cc-4849-ae75-a6c221f2064a · inbound

A Tutorial on World Models and Physical AI cites this paper.

A Tutorial on World Models and Physical AI Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:48:21.444851Z

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=2026-06-27T07:27:11.745750Z digest=sha256:0d85bc225eceef4880c24c30f24e4c01f3afae1a9d9394a1660bd3d24b657ec4

Observation 277361f1-82a1-447e-b766-050a41bbfe34 · inbound

FELT: Generating Tactile Signals from Vision for Visuo-Tactile Manipulation cites this paper.

FELT: Generating Tactile Signals from Vision for Visuo-Tactile Manipulation Foundation Models in Robotics: Applications, Challenges, and the Future

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T09:43:50.160829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:43:50.160829Z digest=sha256:5508268820856b8442364970ae3fb9ee056e9899a3c4a98d064bc0054bbb704f