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Paper Citation Record · LEDGER

Tagged for Direction: Pinning Down Causal Edge Directions with Precision

As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.19459.

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

pith.paper-citation-record.v1
2506.19459 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:40:34.471502Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b59d19a3-4be6-42d2-b802-83baa0bf82d5 · outbound

This paper cites GPT-4 Technical Report.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:34.391970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:34.391970Z digest=sha256:4888637af16c88aaa736b808df28d812f6a90c2531897f8b1cb65c5d564ab4a1

Observation 71c36d56-065d-4b13-9c27-af1a5e61a5c7 · outbound

This paper cites Llama-3.3-70B-Instruct.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Llama-3.3-70B-Instruct

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:40:34.724433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:40:34.459662Z digest=sha256:7c35f7c17fc2d6e217005bfd045a3d8060677266e6cc28c267982494287eb9ef

Observation ddd6a6b5-70c6-4765-b905-e53a67e98c8b · outbound

This paper cites LLMs Are Prone to Fallacies in Causal Inference.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision LLMs Are Prone to Fallacies in Causal Inference

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:34.419473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:34.419473Z digest=sha256:127cb5c655b75fdf1b35a4515d420a79935660ee3c4a83a736432269538106d2

Observation 35b68116-2e05-4150-9829-469e26c69dd3 · outbound

This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:34.424494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:34.424494Z digest=sha256:e84d8a0ba6703ac349610e565d0550e40ad627801699c8d6a0a9f022f1c084e7

Observation 75521743-cfc9-49b0-9fb9-89c1044d76bf · outbound

This paper cites Can large language models build causal graphs? InNeurIPS 2022 Workshop on Causality for Real-world Impact.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Can large language models build causal graphs? InNeurIPS 2022 Workshop on Causality for Real-world Impact

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:40:34.772965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:40:34.430094Z digest=sha256:6b711358c2ff687a94be5fb28eba2b29d732bdf6f2850d12b0c808668d359466

Observation 94b62afa-3d42-4f4b-828b-754f1ea45705 · outbound

This paper cites Structured Priors for Structure Learning.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Structured Priors for Structure Learning

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:40:34.556653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:40:34.434913Z digest=sha256:59275f77caee74f16d9d079c50fa718ccd67c2ca99bedc8f28c276ae3e7deb74

Observation aa57bf2e-01e9-4c39-b130-d47ec6df5d39 · outbound

This paper cites 11 Judea Pearl.Causality.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision 11 Judea Pearl.Causality

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:40:34.755580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:40:34.439779Z digest=sha256:2be3570a87639fefb3a08a794fa49fb7f5836c1e33c5b95172a26a3ec722d2eb

Observation f2e91028-941d-4c8c-811b-cf99c64e1cac · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision LLaMA: Open and Efficient Foundation Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:34.449779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:34.449779Z digest=sha256:bab2a43de05e6bc99cdf8e63e3b71bb314b26ff20c3e376d7eb18847517f4fbc

Observation bcfd8148-b54d-4fcc-b855-c7a1db1fe934 · outbound

This paper cites Can large language models distinguish cause from effect? InUAI 2022 Workshop on Causal Representation Learning,.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Can large language models distinguish cause from effect? InUAI 2022 Workshop on Causal Representation Learning,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:40:34.739986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:40:34.454798Z digest=sha256:e07ffce5359efeaad2dbb0549e59e376de01f95ca1328f674b1ffe82f80826c5

Observation f51ea857-b7ba-47b4-86f8-da9438193c90 · outbound

This paper cites 4, where we show the unranked evaluation results per dataset.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision 4, where we show the unranked evaluation results per dataset

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:40:34.708310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:40:34.465565Z digest=sha256:42cd358799f1651cf16df0da598e8997fe05406cc0b2c7a06fb0ffacca2e9331

Observation a7730931-f669-4857-8f7d-0c0dd82c6913 · outbound

This paper cites To this end, we use the ground-truth graphs and undirect 1 to 6 edges.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision To this end, we use the ground-truth graphs and undirect 1 to 6 edges

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:40:34.691642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:40:34.471502Z digest=sha256:1cb9ed27234ff748961256dc912d957934895e388a8df6eac08241973575245a

Observation a9bb8fa7-1d6b-43b7-a964-f1dac190a11b · outbound

This paper cites LMPriors: Pre-Trained Language Models as Task-Specific Priors.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision LMPriors: Pre-Trained Language Models as Task-Specific Priors

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:34.403258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:34.403258Z digest=sha256:cab0f56cfe38f13f099a44b85d8b2554cb5f0cc2e37090957a775d736381c424

Observation 92d21d23-1107-48f5-890d-d720eab07e6c · outbound

This paper cites Interpreting and using CPDAGs with background knowledge.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Interpreting and using CPDAGs with background knowledge

Reference 2009

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:40:34.533846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:40:34.444672Z digest=sha256:d874a132c0677bb98235a769fda133ae7382af3d5cdd4d1a7ff399454c268e1b

Observation d17400f7-1830-456d-b027-34c2ce502cc0 · outbound

This paper cites Large Language Models Are Not Strong Abstract Reasoners.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Large Language Models Are Not Strong Abstract Reasoners

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:34.409103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:34.409103Z digest=sha256:5cfb8a8fb82cb3f8c3aa5c7b389b11a426317ef53d2e185c46853afdaeaf68f2

Observation 7a66e8ef-f8c6-49d9-8b00-3d16bf9cdf93 · outbound

This paper cites Efficient Causal Graph Discovery Using Large Language Models.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Efficient Causal Graph Discovery Using Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:34.414471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:34.414471Z digest=sha256:e4d8f7d756c67c6aae772babf70bba284ffd5748245bda69e16b0c8ed60c5e22

Observation e24fc2d5-91af-44fb-8d9b-1c4e3d378baa · outbound

This paper cites Qwen Technical Report.

Tagged for Direction: Pinning Down Causal Edge Directions with Precision Qwen Technical Report

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:34.398064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:34.398064Z digest=sha256:b40f36c3fc3035780f717e5108d2922d447a290fe7ea03553087472a165ec684

Pith citing papers

No inbound Pith citation observations are available.