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Paper Citation Record · LEDGER

Foundation Models for Decision Making: Problems, Methods, and Opportunities

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2303.04129.

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

pith.paper-citation-record.v1
2303.04129 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:19.086308Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:58.451883Z

Reference resolution

0 of 0 outbound references displayed

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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 2590c633-2cc6-493d-a207-2148573d7810 · inbound

Language Models can Solve Computer Tasks cites this paper.

Language Models can Solve Computer Tasks Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 76

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verified exact
arxiv_id, observed 2026-05-17T12:17:26.682394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T12:17:26.602361Z digest=sha256:8205708bf45a6b4b6bdd50dbdca9d0e64ccaec1b226e35f5ddbf27766b963094

Observation c26a2d5b-75c0-48f5-ac27-cd8c6f487c2f · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 52

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verified exact
arxiv_id, observed 2026-05-13T18:12:57.629823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:92836c75311a629fb353353d4bfe0352e974bc4e6b7fb28f12b6f51d3b685698

Observation 14c7ac0d-212a-4d92-82a4-463589143ecf · inbound

Learning to Ask: When LLM Agents Meet Unclear Instruction cites this paper.

Learning to Ask: When LLM Agents Meet Unclear Instruction Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 31

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arxiv_id, observed 2026-05-23T21:13:28.121286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T21:08:42.276002Z digest=sha256:1150ef2106a5f4ce51914b9f88842c0ba747363765528ce1cbd8c2559642d382

Observation 39c8aaca-5a43-4013-80eb-213b9b8df4aa · 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 for Decision Making: Problems, Methods, and Opportunities

Reference 93

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verified exact
arxiv_id, observed 2026-05-16T08:25:18.166864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:49f33caf88f2c504f9a46663f71f2097d269001a86fc700fe1197be42aa760c2

Observation f240a42b-c672-45d7-bc57-3cc091ada8ee · inbound

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies cites this paper.

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 52

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verified exact
arxiv_id, observed 2026-05-23T08:22:44.254983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T08:20:05.898025Z digest=sha256:d6d6b61def64f5420351a85c42a59880dde139ae59732a6c84e381f007b2bc97

Observation 91bf319a-ecd2-4254-aeb7-df7068cf1e9f · inbound

Robot Operation of Home Appliances by Reading User Manuals cites this paper.

Robot Operation of Home Appliances by Reading User Manuals Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 16

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no resolver link, observed 2026-08-07T13:59:19.086308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:19.086308Z digest=sha256:424e8dfd4ad49c160f430afaadc9a7369d67fd86caf2d7a1147d2dd112222f88

Observation c3cd9246-9068-4d15-94b0-811c1f89e145 · inbound

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations cites this paper.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 91

Resolution
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no resolver link, observed 2026-08-07T12:35:43.148867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:43.148867Z digest=sha256:78e3528869c147e320f0d89443e78b294e71eff00addc646c4ed8ca0bc27a63c

Observation e93e8ece-734e-48d8-ac24-14f4972fb4fd · inbound

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

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 90

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no resolver link, observed 2026-08-07T04:58:53.629901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:53.629901Z digest=sha256:cb211a79288d738bf207691f71f9d95b76c2b9144e5e07c3b092224647441bc4

Observation 7bce264b-f0c1-4ebf-b544-77f7ab8cfd8c · inbound

Towards Efficient and Effective Alignment of Large Language Models cites this paper.

Towards Efficient and Effective Alignment of Large Language Models Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 197

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no resolver link, observed 2026-08-07T04:55:43.138807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:55:43.138807Z digest=sha256:168053ef5f6d9abbdc5895ed873f0b90125915aad234acfe9eb96d467bdacada

Observation 8c29bd59-3681-4b3b-a308-f23a2617ccc8 · 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 for Decision Making: Problems, Methods, and Opportunities

Reference 81

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no resolver link, observed 2026-08-06T23:43:17.295896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:43:17.295896Z digest=sha256:1b1e432be03f701961c541ae0fbeaa71eb5519edde4ceaf2b0e1611556a07a06

Observation 87235990-9198-4b19-b7ab-7f4b8e95b113 · inbound

Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning cites this paper.

Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:35:36.966715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:35:36.966715Z digest=sha256:cf8874f4f7d5ebbd42fdde85a291936dbaa50c65ed5044cbe4aee8c0c5561231

Observation 8307a745-9dcb-4c56-8e5b-943ebc6b5929 · inbound

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming cites this paper.

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-06T17:00:25.862823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:00:25.862823Z digest=sha256:75053bf663cf84286750879f12aecce5789a9bdca16ee90cddf1b6d2e9316c29

Observation b1546250-12ad-4db4-a0df-added7ae678e · inbound

A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI cites this paper.

A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:56:49.528132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T19:53:17.049961Z digest=sha256:5c9b362c3bae560c6147050810623e41d4dd5c61853412802e0c85b72133f914

Observation 255de7a6-6cc6-4652-9f1b-8e55059c3b44 · inbound

Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning cites this paper.

Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 192

Resolution
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no resolver link, observed 2026-08-05T13:38:11.959304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:38:11.959304Z digest=sha256:b20e0e44b09491bae87264add80141ce42a30755f7bd5f036aa111314b45ddb1

Observation 6ebddc39-80ae-4a45-9016-65412c7343d6 · inbound

CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing cites this paper.

CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 5

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metadata mismatch
arxiv_id, observed 2026-05-15T12:55:37.973876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T12:52:00.086156Z digest=sha256:73a6176e8b532539ff9e5ccca198568b1bc34d2ae7c62b4515d3fa76e623f00c

Observation 93bcd15d-8ec7-41a1-9a75-629df635eac9 · inbound

MARL-GPT: Foundation Model for Multi-Agent Reinforcement Learning cites this paper.

MARL-GPT: Foundation Model for Multi-Agent Reinforcement Learning Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:30:51.942993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:47:26.815228Z digest=sha256:b0a22e4ca16f90bc115fa308906bd59754950aca1b96d8dc200bcb6d6254aab1

Observation 3c0d286e-6097-4695-a03d-cf5631603fcc · inbound

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding cites this paper.

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 15

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metadata mismatch
arxiv_id, observed 2026-05-11T03:45:56.211230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T02:21:23.325806Z digest=sha256:b1d243c21cd4f662c18e099e4f7348d24b91d4d2ec55504ef89824cf3a9857e5

Observation 76f55fee-1cd5-4204-bd54-538e6bb76ddf · inbound

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding cites this paper.

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 15

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metadata mismatch
arxiv_id, observed 2026-05-13T07:42:30.541902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T07:41:12.038619Z digest=sha256:ea9d50e6911060fa92f2e52fe34af06522f44a9a77aad0c2b5b461f3f0dacef0

Observation ce7f0e15-a724-4706-8a9c-60d8247d348d · inbound

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization cites this paper.

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 48

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verified exact
arxiv_id, observed 2026-05-20T07:18:07.098935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T07:14:39.757279Z digest=sha256:451925c32a0126489a9045c6805cb2d91144475d7d43b455f7a42ae72a2e83eb

Observation 42f411df-a892-4349-99e0-85aaedfa56ca · inbound

QMFOL: Benchmarking Large Language Model Reasoning via Quantifiable Monadic First-Order Logic Test Case Generation cites this paper.

QMFOL: Benchmarking Large Language Model Reasoning via Quantifiable Monadic First-Order Logic Test Case Generation Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 38

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arxiv_id, observed 2026-07-04T03:59:33.517709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T17:24:52.879065Z digest=sha256:21047fd21d28716f618d94c0b23a9bd416dca180ee2c03aa3ad3a3c241121cb8

Observation 5564bfd7-63bc-4150-ba56-a04cdb6a8d66 · inbound

RoBoSR: Structured Scene Representations for Embodied Robotic Reasoning cites this paper.

RoBoSR: Structured Scene Representations for Embodied Robotic Reasoning Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 10

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verified exact
arxiv_id, observed 2026-07-04T16:39:58.453389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T00:18:58.206705Z digest=sha256:0d8d2ca2a5c2e26254b36033dd0b9e1dd8c79986ec76ae3c6fa56d165e280ae4

Observation b2429258-3301-4cdd-9920-10d958868af3 · inbound

Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution cites this paper.

Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 25

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no resolver link, observed 2026-08-02T02:06:26.321553Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:06:26.321553Z digest=sha256:348ffc8da238eb212ceb2667c0e96231a4dd147ea995e488551094e291e259e1