Pith. sign in

Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:38:11.959304Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T12:17:26.602361Z digest=sha256:8d3035c4f1fe68c10aaddd4ceffd40fa4df8c20b18e7e19543bc67b85d45222c

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:b62d625130ce205501491d00ecb9303c17a06fe7a25d3d4bd33e3f3cb9a8baea

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

Resolution
verified exact
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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T21:08:42.276002Z digest=sha256:ac3c3e7ef6af567abdedd8132e0d2eca89630c59d3f0998a669b2feda8ef892c

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:b276c1539ad80cfd72eb0bfd9106ca40838feaca077615b19e2c6b5a981c7f18

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-23T08:20:05.898025Z digest=sha256:2c4f3bf978591785cbe4fb45f550b8f775ba6bfc4f6c42d758195ab84ac9c458

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T19:53:17.049961Z digest=sha256:de2ad4a24ccd2f5e1df4594ea034dabade450cd5d3a9370b62a74bb8d380e5f7

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
unresolved
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=sha256:1e76bec8eb82aa659fa0b5be49169369dd33e9faf4205f686e806f2991a1c215

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T12:52:00.086156Z digest=sha256:2a86622e4de853c531fe6c7793e98f10bd8aa736de4fccb1b7be38705aa49bdb

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T19:47:26.815228Z digest=sha256:fc29b7564291de19784fdabd71f9a4e7864ced7f2227c3e337de1ae38a1781bd

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T02:21:23.325806Z digest=sha256:5833f90779d08e7fdd1609c4299fee492b1ebda44f478ca09eea2602ea3a3e53

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T07:41:12.038619Z digest=sha256:706917e3e36fb09796b6e288930ec948f3ca303d4e0742ec0ae66e4376724064

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T07:14:39.757279Z digest=sha256:4a02940a255675e499e6b099acbfbfaa5589d49bba0f735c9739fec2a73fb82f

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

Resolution
verified exact
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T17:24:52.879065Z digest=sha256:3a4ae09a6fcc27ff5e665fbbda476dbe74146fef14c17765c361cca50bc5dd63

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T00:18:58.206705Z digest=sha256:317b4e1d9e13e3052bbe5d27f899ff9a2399bf74f3c9e5b3dfe852f3d8016843

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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