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Paper Citation Record · LEDGER

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.16989.

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

pith.paper-citation-record.v1
2311.16989 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:33:24.052462Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:03:26.363053Z

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 2147c43e-20f2-4617-a5db-a67dbb370589 · inbound

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement cites this paper.

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:03:26.366288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-23T21:02:03.017690Z digest=sha256:2bf915ba747d7a071a75fa60bfd371755bcc6517d0f8d3940ba947b083a6954a

Observation df1aafce-bc3f-4757-b02b-5c39571f35eb · inbound

SafeWorld: Geo-Diverse Safety Alignment cites this paper.

SafeWorld: Geo-Diverse Safety Alignment ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T19:41:42.124292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:41:42.124292Z digest=sha256:4175632f095e85a81c29438f8d409d3aac388e21548fed18fb8a89af4a196c61

Observation 5aaefc12-0771-4161-aa8e-cc7d824c597a · inbound

ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition cites this paper.

ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T12:33:24.052462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:33:24.052462Z digest=sha256:0d86089fb72ab4686eb3ec71444761f7645cbe3d4f44b2185a105fd1a49bf9d7

Observation af9efd82-13f5-4e70-8425-0114250a7f31 · inbound

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) cites this paper.

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:08:05.270760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T05:03:28.824500Z digest=sha256:48a1ac91f409dcba2f02136574a8bc94c5eaf5cd973813bb4f391fe30ae011bf