Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:37:12.962958Z
Paper Citation Record · LEDGER
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration
As of 5 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2604.12843.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T04:45:20.445703Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T16:58:43.279807Z
Reference resolution
17 of 17 outbound references displayed
- verified exact4
- verified fuzzy3
- unresolved1
- parse uncertain0
- malformed identifier1
- metadata mismatch8
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0b598f78-1ffb-4e76-adb7-2b07ddcf6e06 · outbound
This paper cites Revealing the structure of language model capabilities.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Revealing the structure of language model capabilities
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:30:56.713555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e77699b9-3d1b-493a-b72a-2bf8eb368f5f · outbound
This paper cites Measuring massive multitask language understanding.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Measuring massive multitask language understanding
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:29:46.093857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a47e77c2-6c2e-4fb1-9ce6-4bb9f5440cd7 · outbound
This paper cites A rosetta stone for ai benchmarks.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration A rosetta stone for ai benchmarks
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:30:56.706135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5ea3ca8f-8041-41f7-bb62-e0f3cf9200c3 · outbound
This paper cites Fluid Language Model Benchmarking.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Fluid Language Model Benchmarking
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:30:56.698614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 520082a7-d528-42ce-b08f-fb2e696bcec3 · outbound
This paper cites 12 Liisa Järvilehto, Yongjie Sun, Nami Aiba, Shumpei Haginoya, Hasse Hallström, Julia Korkman, and Pekka Santtila.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration 12 Liisa Järvilehto, Yongjie Sun, Nami Aiba, Shumpei Haginoya, Hasse Hallström, Julia Korkman, and Pekka Santtila
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T21:25:50.076377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b0379a1e-4cce-4041-b22a-2f2c6b485316 · outbound
This paper cites Dynabench: Rethinking benchmarking in nlp.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Dynabench: Rethinking benchmarking in nlp
Reference 6
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T21:25:50.079372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 471cbdb5-6644-4b77-8c5b-0595ff536f0d · outbound
This paper cites metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:30:56.694144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a82166b1-a2ce-4875-a12b-acba89703f2b · outbound
This paper cites an unresolved cited work.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T14:29:46.097265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 249dd8f0-5c01-41ed-b27b-4589a87640f4 · outbound
This paper cites and Wu, Hao and Yu, Hong.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration and Wu, Hao and Yu, Hong
Reference 9
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T21:25:50.023398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 05ebc3d2-978a-46f9-8be2-eb156ab75157 · outbound
This paper cites Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-15T01:20:49.385427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b887eb82-d5c0-411e-9f9b-c2a441b0f422 · outbound
This paper cites Sasha Luccioni, Yacine Jernite, and Emma Strubell.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Sasha Luccioni, Yacine Jernite, and Emma Strubell
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:29:46.100599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 90f7d9e2-aaf6-434f-9291-b101cdcd3c25 · outbound
This paper cites Beyond Individual Accountability: (Re-)Asserting Democratic Control of AI.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Beyond Individual Accountability: (Re-)Asserting Democratic Control of AI
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T21:25:50.067120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 545cf548-90c2-4386-afa0-2b04eaef10d1 · outbound
This paper cites From Benchmarks to Skills: Low-Rank Factors for LLM Evaluation.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration From Benchmarks to Skills: Low-Rank Factors for LLM Evaluation
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-12T02:09:07.519296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 31b38521-984a-43fd-95eb-dc0200fa0863 · outbound
This paper cites URLhttps://openreview.net/forum?id=qAml3FpfhG.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration URLhttps://openreview.net/forum?id=qAml3FpfhG
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T14:29:46.103509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 36b24013-0a66-4c4c-b120-27387ceb91b3 · outbound
This paper cites and Jia, Robin and Boyd-Graber, Jordan.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration and Jia, Robin and Boyd-Graber, Jordan
Reference 15
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T21:25:50.070265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b6b74848-b548-4bdb-890d-7a7bbfeedb80 · outbound
This paper cites Chothia and A.M.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Chothia and A.M
Reference 16
- Resolution
- malformed identifier
- doi_truncated, observed 2026-05-10T21:25:50.083508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ff199c6f-5d59-4821-9ec8-c55a6d0806bb · outbound
This paper cites Reliable and Efficient Amortized Model-based Evaluation.
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Reliable and Efficient Amortized Model-based Evaluation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:30:56.688972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 1b951344-6798-455c-add9-b9fc88e9595e · inbound
Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models cites this paper.
Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:06:13.583631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9c1d734e-88ce-4bb5-a346-8329f24e8f85 · inbound
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results cites this paper.
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T16:58:43.280944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.