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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:8cccc455ec59896ad1f6c5208d7c6aecb00284a9a3fc68968397d87969b42df0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T22:40:31.694390Z digest=sha256:9e53b908e996db00145815bfc1e20cf23bf25dbdda4228ab85f43408988f55fe

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:e7d874929deb6e1ab3f4f145b58508511b82602aacdb5b891d8ff2e157cba705

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:c75ef65ecda642aa061e8c79348aa5de816e8e848a9c529ea81d01e50d1d42c1

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:ca4da7fe095fb96751b7aad2fdf272484d6f9d3aaa676fef95c33ce6e856ca95

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:abb2f37cefd3f081a74e6249128dcb4f58117aa45208649e928a2812fc1bd402

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=sha256:616930e7e277a15e33cb26b0f887d1fff686cf25da99cdc8f6b93bb092017aed

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:f3a5b7e8770fdc48593e05216421d50ee5e545cb841a16c661aa7a89f4197214

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=sha256:161c653a4a37a0976eb926eb5b8a950b3c1de9795cea80e39ec98ec14338f5dc

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=sha256:59b11744f2e1024cc141acb1195a160a3fb62c128d4126fdde622d26e3239249

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=sha256:774ca77a291c99d166ab1f946be614c12de10d56dbbcfe6b67674f9014e5b743

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=sha256:7b6cb8da5fa2136bbb8a8f4426a86ab7bda29883ddc0ba3c13576e1a3c5eb951

Pith citing papers

No inbound Pith citation observations are available.