Paper Citation Record · LEDGER

Sparks of Science: Hypothesis Generation Using Structured Paper Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.12976.

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

pith.paper-citation-record.v1
2504.12976 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:36.009484Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:17:26.427292Z

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 caa38cd3-48dd-4eef-81c8-b9f9bf08921f · inbound

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems cites this paper.

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:36.009484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aded90f8-1b0e-468e-93ab-0942d7935376 · inbound

AI Scientists Fail Without Strong Implementation Capability cites this paper.

AI Scientists Fail Without Strong Implementation Capability Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:04.355306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4922400d-bfb2-4c28-a819-628dc7d78ad4 · inbound

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas cites this paper.

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:32.449311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 321753bc-3fb4-4635-b84e-d2f6f19d6532 · inbound

Interestingness First Classifiers cites this paper.

Interestingness First Classifiers Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T15:33:42.892921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 357342bc-7aa0-411f-9755-9459666d6633 · inbound

DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations cites this paper.

DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:17:26.432462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b36f246-9602-485b-a4ae-b4d76d2b036f · inbound

DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations cites this paper.

DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T12:08:58.961648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f8f5225-8feb-4574-91ba-f919d38eae4a · inbound

HALO: Interactive Co-abductive Reasoning in Scientific Hypothesis Generation cites this paper.

HALO: Interactive Co-abductive Reasoning in Scientific Hypothesis Generation Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T15:05:26.835593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a2b1dc-a4bc-446f-9276-8d507285841f · inbound

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation cites this paper.

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T23:25:06.856110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 111ea1cb-6d23-49a8-aedb-16b296bc9bf7 · inbound

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation cites this paper.

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation Sparks of Science: Hypothesis Generation Using Structured Paper Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:15:12.688146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.