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Paper Citation Record · LEDGER

Show Your Work: Improved Reporting of Experimental Results

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1909.03004.

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

pith.paper-citation-record.v1
1909.03004 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:05:53.879583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:37:22.705716Z

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 db1b821f-6747-4aad-a775-4d9f74fdbb89 · inbound

What Do Machine Learning Researchers Mean by "Reproducible"? cites this paper.

What Do Machine Learning Researchers Mean by "Reproducible"? Show Your Work: Improved Reporting of Experimental Results

Reference 2194

Resolution
unresolved
no resolver link, observed 2026-08-11T22:05:53.879583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:05:53.879583Z digest=sha256:c1ad5acb8f45fcd84d1d5eba3dad260c645dafc2343ee1878dba15a16b527928

Observation e215c4e5-f5c9-49f7-b5e3-d11823d243e2 · inbound

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects Show Your Work: Improved Reporting of Experimental Results

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:34.951230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:34.951230Z digest=sha256:f23dd35b54f1214bdd405a313053dfd6599eb7f6b4a674626da607862306368c

Observation 152be9ee-f342-47bb-bd7b-5fd2015c7daf · inbound

Tractable Asymmetric Verification for Large Language Models via Deterministic Replicability cites this paper.

Tractable Asymmetric Verification for Large Language Models via Deterministic Replicability Show Your Work: Improved Reporting of Experimental Results

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T17:10:42.853196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:10:42.853196Z digest=sha256:1f5dd139c8507d1f68235a4ff92c12b34b137814b2c8e86ce0e5440d8f19fdfc

Observation e0664bff-49c6-491c-a85c-99cfdf1b93a5 · inbound

SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks cites this paper.

SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks Show Your Work: Improved Reporting of Experimental Results

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:01.003874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-29T22:50:48.263600Z digest=sha256:72e9cdf370b60a056ed2944751e25c981fe543d2d0a46bd2961afee6e220ea08

Observation 918529be-893b-4ebb-af6b-9702bf20bcd1 · inbound

Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation cites this paper.

Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation Show Your Work: Improved Reporting of Experimental Results

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:37:22.707135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T20:20:08.996005Z digest=sha256:12dbd8f4aa55cb45e6c0177cae936ebc1f68575222ec9c5418ede4c6bf3240ec