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Paper Citation Record · LEDGER

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2606.07726.

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

pith.paper-citation-record.v1
2606.07726 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:40:31.694390Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved8
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a9d0253-96bf-4d23-aa73-2b8faf4273a2 · outbound

This paper cites Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:27:09.355678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:a7d00deb7d9aef208a53ab521330168f987857673d9a85244948a513680fbbf6

Observation 2df2210b-fbb6-481a-a687-8bf8163e5616 · outbound

This paper cites Why do classifier accuracies show linear trends under distribution shift?.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Why do classifier accuracies show linear trends under distribution shift?

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:27:09.358283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:85f95702b83aca3185c8568950dd56f37d09f7287674dc954ab046ef189cd35b

Observation d700c989-3a03-453b-a70c-0eb2fc7a68a7 · outbound

This paper cites 18 B.2 Proof of Theorem 5.1.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity 18 B.2 Proof of Theorem 5.1

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:3c65318f32eef294f4141e39b41750a5d25c2c7cbafcbe4fe84e02132608172f

Observation 47a853e0-5f28-476d-90fe-0eb81cc2f629 · outbound

This paper cites Note that the following bound is slightly sharper than Proposition 1.4 in Bardenet & Maillard (2015) in the denominator of the exponential.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Note that the following bound is slightly sharper than Proposition 1.4 in Bardenet & Maillard (2015) in the denominator of the exponential

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:e7351c4b69f05b07247b8e882c13c4b6bb4ce8ca928b464bfcb7b9cfc8714a1d

Observation fb4d813d-302f-414a-8e74-b5cb01f30609 · outbound

This paper cites We define the empirical mean bµZ,n := 1 n Pn t=1 Zt.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity We define the empirical mean bµZ,n := 1 n Pn t=1 Zt

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:cf59f87617de42a770bbdfb2fc570a68335a25928a3afe323be364aa760de533

Observation 600bb69f-f261-4437-99c6-13f9c4e850f2 · outbound

This paper cites exp λ nX t=1 Zt # =E πw.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity exp λ nX t=1 Zt # =E πw

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:104ea3f3c9913f1e3d9ac9afc757c774ee6547048d7cddb0cf89f7b2299ba720

Observation 8526c5cd-e352-4a63-b25f-afa8968d6de7 · outbound

This paper cites an unresolved cited work.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:c7f99e1d156f2531a9795d4decda660e4a68a65c7fd0bd57f3f40ec49fb72f11

Observation 93bbd9fb-6227-4f59-bc14-fedd7f496524 · outbound

This paper cites an unresolved cited work.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:0852c7218b46bc0a8caf9210e318e2d1c7e604754d5308b89af8c028a795deb7

Observation 6a43b328-0c19-4391-bbb5-820151cd117f · outbound

This paper cites Best Acc and Mean Acc denote the accuracy of the best model and the mean accuracy across all models, respectively.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Best Acc and Mean Acc denote the accuracy of the best model and the mean accuracy across all models, respectively

Reference 9

Resolution
malformed identifier
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:9471b863e3b95074f3a004c88ea7dd3a006d2fb78b4f03e92d3bf9c99ed11f2b

Observation bfb6cba4-a54f-460a-b86b-e69eaef265d8 · outbound

This paper cites an unresolved cited work.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Unresolved cited work

Reference 10

Resolution
malformed identifier
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:7a66b21085a5c96464e1175d63418acd3d420f0d2311119959adf4e88c4cf643

Observation a7432fa4-43c8-44fd-af63-fa80cbeb0d45 · outbound

This paper cites (2010) No Free Seconds SyUCB-E This work (appendix C.3) Yesa∈ {0.1,1,10,100}Minutes UCB-E Audibert et al.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity (2010) No Free Seconds SyUCB-E This work (appendix C.3) Yesa∈ {0.1,1,10,100}Minutes UCB-E Audibert et al

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:acfd09141b3caa03b4a921e95b0678e3b0c6ac3722eaf7eea2f32e1659047cc3

Observation f4c7d5b1-7746-4e69-a7d9-eb9cd7c4f893 · outbound

This paper cites an unresolved cited work.

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-27T22:40:31.694390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:6d1f08390e40714ad372111fc2cf420de636c028cf0dfa44460d037bae9cb18e

Pith citing papers

No inbound Pith citation observations are available.