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Paper Citation Record · LEDGER

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.15301.

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

pith.paper-citation-record.v1
2402.15301 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:44.481192Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.375300Z

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 8209bf06-7b3d-4d34-a716-24501ea79229 · inbound

From Local to Global: A Graph RAG Approach to Query-Focused Summarization cites this paper.

From Local to Global: A Graph RAG Approach to Query-Focused Summarization Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:58.134397Z

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=2026-05-11T05:10:57.816312Z digest=sha256:e152cebb8d67d3fe9bc68139d78459d2102d1bdb4162cad644cbc189ed0daf4d

Observation cb71e23c-4d4b-4a71-82d9-0c450c3c17f0 · inbound

Retrieval Augmented Generation based Large Language Models for Causality Mining cites this paper.

Retrieval Augmented Generation based Large Language Models for Causality Mining Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:44.481192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:42:44.481192Z digest=sha256:62f05b36f066f7835961fd8fb75a749c1df5f173e982a3c1d1c1a49941b3bbe1

Observation 1a3297d7-77ec-4d5d-9e1e-9b241beb347e · inbound

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting cites this paper.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:33.695962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:33.695962Z digest=sha256:8085a17a8e6721680be2529aa6ec003152094fc6fa30552f7aa332778f32163c

Observation ac97e2ec-f47e-4843-917b-4f2b5ebae15c · inbound

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery cites this paper.

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:56.735407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:01:56.735407Z digest=sha256:9d49147438229254d18b8328cf54796a6b04dbd65c68aaf02a8cc8a1d3cb1aac

Observation fbc0dee0-cec5-40ee-896a-4ccdad1d3c86 · inbound

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks cites this paper.

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T16:16:41.745676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:16:41.745676Z digest=sha256:9b29d6015212a63b384278b885657806f4824b940121abc3900b3209b5c60d75

Observation 3bc22ac4-3406-48f6-a699-c85e39d50776 · inbound

ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery cites this paper.

ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:42.376838Z

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=2026-06-26T11:09:36.868166Z digest=sha256:682717cbc699b6a3ad98656cd4d83caa91c7008a002d63f090c75152124e4130

Observation 5c13ba18-b2cb-4777-ae3f-fcf749c11f4d · inbound

EviDAG: Auditable Causal DAG Authoring with Biomedical Literature cites this paper.

EviDAG: Auditable Causal DAG Authoring with Biomedical Literature Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T06:30:12.954150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:30:12.954150Z digest=sha256:905598190c87d3be6e36198c43484c874086d30c1f92e25d60bd4a800a8342c6

Observation e01a83a9-9ac3-480d-bf13-b09dacad3df3 · inbound

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games cites this paper.

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T16:54:49.578562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:54:49.578562Z digest=sha256:9520654b4172fe529db5f92e1ce7a43792248f99fd6acdc45c7b18e1789db697