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Paper Citation Record · LEDGER

Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.13800.

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

pith.paper-citation-record.v1
2310.13800 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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:42:04.490767Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:36:47.714372Z

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 33807f7e-da2f-4f82-850b-e700924175a7 · inbound

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques cites this paper.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.908839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:6b981affa49e0fa80796a3a7e0f91a762dd94c7fb403901130765766014fb9e6

Observation 92289237-b8c5-4289-8983-657ab9301b16 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Reference 213

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:34.813299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:02b03e1bd68bf261adda0b77ad9042b367fca893d95a8ff4df4681c682765e49

Observation 6dbae078-55d5-4422-8066-32ce1c6e2479 · inbound

Robust pid sliding mode control for dc servo motor speed control cites this paper.

Robust pid sliding mode control for dc servo motor speed control Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T23:42:04.490767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:42:04.490767Z digest=sha256:97d73d852a0c77aaa26d1b8ecbae18c24b413630d92c9943a71f296f32b6b446

Observation 98bd970a-b86f-4b7d-9f79-6dc6f6bf8d7b · inbound

AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? cites this paper.

AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T09:31:11.253621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T09:30:16.609270Z digest=sha256:deab8bdae758701539be45faf5d4de97ab3ceff29d888054962102e8a39eb7bf

Observation 328e7591-c6e6-4ef8-9a12-937e216ce504 · inbound

Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges cites this paper.

Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:36:47.716460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T05:58:59.870335Z digest=sha256:486ad01bc749550163ab759b671e5c7052d697fb7d26ba6d108870847802dcf6