Pith. sign in

Paper Citation Record · LEDGER

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection

As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.00014.

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

pith.paper-citation-record.v1
2608.00014 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:32:06.236716Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc46e965-89a8-4a66-8d30-03d344f7f4cc · outbound

This paper cites Phi-4 Technical Report.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Phi-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.179494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.179494Z digest=sha256:aa0d2443a0eede6bbebd838a9e2fccf55cde88668b7b368a11975288b7e110d4

Observation 43fd4093-2212-46c5-8c38-e9338b1fef56 · outbound

This paper cites GPT-4 Technical Report.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection GPT-4 Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.238619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.238619Z digest=sha256:cc333f8f9be7d4732f468383da854202f1fea2b2c7a2e336d5848009aee6826a

Observation cda488ee-a30b-4012-8a43-823ff6d57606 · outbound

This paper cites Open llm leaderboard.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Open llm leaderboard

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.331766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.331766Z digest=sha256:f2b1a9b90430104a97908cb4763e9c1dc6ba847b07c734b6c82158aa1208cee8

Observation 3e5f790f-11ea-4a4f-9103-9416be3d4b69 · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Pythia: A suite for analyzing large language models across training and scaling

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.370353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.370353Z digest=sha256:4560d8a0a8e8bdb12c61349c68cbd01528c901f33e68aedfdf99f69917af13d6

Observation ced9e9ee-23bf-447f-92fc-4d45026f506a · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.506869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.506869Z digest=sha256:b70f8ab9bfd83626437c86b3853a018e60f9f7b9658a960f5a58f46bc028bfb3

Observation 4a3e65ab-3081-45f9-8f88-764e713cb097 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Training Verifiers to Solve Math Word Problems

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.570729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.570729Z digest=sha256:245551e3279fd7effa397c89e495cea402228441c69037c7a127eb5c3c385256

Observation 15c3f06b-f616-4afd-812a-2ce7731da94d · outbound

This paper cites Olmo: Accelerating the science of language models.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Olmo: Accelerating the science of language models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.652406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.652406Z digest=sha256:c377271a8cbfcfb9831aa12d6f0f78df4ae3c330c58457c56887833dddba5dc5

Observation 2d73ef89-80d3-4f43-9b39-8673145274c5 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Measuring Massive Multitask Language Understanding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.707042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.707042Z digest=sha256:3619773445259e671bf789bacf2d8fd70048b6712598c86cba02e63824bb1d14

Observation 3db2aac3-6a06-4610-a11e-7e7a4b3268a7 · outbound

This paper cites Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.835851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.835851Z digest=sha256:f24de8fcb075dc5ec4822c93c22f2ae9e9e6e0116463a536491beb6c14814517

Observation 4fc8cc9f-f984-4699-80c2-1effd6381b40 · outbound

This paper cites Holistic Evaluation of Language Models.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Holistic Evaluation of Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:04.986160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:04.986160Z digest=sha256:0e7331b21384df0ff33723d5643d97eab4620f6dafa67d53c92025d17f381234

Observation 3fe60588-09a6-42b1-a24b-85a4ddeee7fc · outbound

This paper cites Opencompass: A universal evaluation platform for foundation models.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Opencompass: A universal evaluation platform for foundation models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.060774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.060774Z digest=sha256:5d229449a5d0cfb5e8b05b46bb950abe1ae37147bda973888db014317a519646

Observation f94f108e-e739-49d0-8054-c2a53b1c4712 · outbound

This paper cites tinyBenchmarks: evaluating LLMs with fewer examples.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection tinyBenchmarks: evaluating LLMs with fewer examples

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.153277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.153277Z digest=sha256:850b036f37dfa3c247d43bdcfd1eabaecb32eb39aface23612107d7932f44ac7

Observation be522389-8685-47e9-a82e-9484753589e1 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Gpqa: A graduate-level google-proof q&a benchmark

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.269505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.269505Z digest=sha256:db1659c6e61f0eb9cb8b02611bc52b5bbdc8a22c2b0869eaf1eba9d8b704771c

Observation 55d611c5-2880-4e5a-ae20-099dd37f3f78 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.357692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.357692Z digest=sha256:98f26f90cca495737943ba0526e81b8f2037e299fc676e5c2e01b88febd3c4f1

Observation 13d92de7-7c18-43c2-979a-90da09567258 · outbound

This paper cites Large language models can be easily distracted by irrelevant context.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Large language models can be easily distracted by irrelevant context

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.457708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.457708Z digest=sha256:d3eebef1bd737bc5452943a09d37544d38a3711aba2c07934d2f5ad9f6883c14

Observation 2bc341c0-3a27-4875-910f-61e63280f6da · outbound

This paper cites Unnatural language inference.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Unnatural language inference

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.576253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.576253Z digest=sha256:d7cde0c843b410a3eb73bef2649a883279cdd27c399466abd835226ed3726236

Observation ed7e5a43-07d5-4a11-aee2-1e712a1776c4 · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.727920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.727920Z digest=sha256:ab5c198056186133191807f7bffb19cef9dadc6d3d01131e81a6a9053b6f915e

Observation d2c3b4bd-1789-48ec-bdb7-6ce4992b538f · outbound

This paper cites Dataset cartography: Mapping and diagnosing datasets with training dynamics.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Dataset cartography: Mapping and diagnosing datasets with training dynamics

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.839080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.839080Z digest=sha256:a211a22019a8dab0979261cf1eff8527bd956cb68fcc6ca6c4c834f9a1c95eb9

Observation 79460e99-4c47-4b2a-9e70-0ae2a05abea0 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:05.945210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:05.945210Z digest=sha256:38ca2f9fc4a1109e4435ce618472fd441dd96973e5ebd0c566f16f6c136cf0ce

Observation 5f07a30e-5ba9-40bb-8a5d-b308b23dc055 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:06.108694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:06.108694Z digest=sha256:42ac860c9a773c4e40614a440cac163547aa6ae5cb789272516af6a8d2754f75

Observation 3e01fd5d-dc1e-48a2-836c-0dcc79d466f3 · outbound

This paper cites Rethinking llm evaluation: Can we evaluate llms with 200x less data? arXiv preprint arXiv:2510.10457, 2025.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Rethinking llm evaluation: Can we evaluate llms with 200x less data? arXiv preprint arXiv:2510.10457, 2025

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:06.222825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:06.222825Z digest=sha256:2f7ee3c7c83d5900d0c450294eeb395e74559619e1d2c42eb62abf6e725ab26e

Observation 11cd4cf2-f77e-4c2a-b39c-aa13562e1ebb · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Mmlu-pro: A more robust and challenging multi-task language understanding benchmark

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:06.225691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:06.225691Z digest=sha256:2e15430b4719095e95660a1a0aab09413ed7f20f346530e5e6b7db6289c1a276

Observation 3f33d22f-4b24-4aca-9c72-1b486686067b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Chain-of-thought prompting elicits reasoning in large language models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:06.228494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:06.228494Z digest=sha256:a975dc5763f0dfb699bdcbcc0cbc724c592039c0e25a560b2d25579abba5e3f9

Observation ea647eac-87c7-4ccd-b727-a167d1a7c70c · outbound

This paper cites Explainable chain-of-thought reasoning: An empirical analysis on state-aware reasoning dynamics.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Explainable chain-of-thought reasoning: An empirical analysis on state-aware reasoning dynamics

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:06.231084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:06.231084Z digest=sha256:047000eb9af2a03a9af85fb2271c1ebae84e9292a40910125e3e184095a6f3e1

Observation e0ce3842-d42d-42e6-aa0c-1a503e655d6b · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Automatic Chain of Thought Prompting in Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:06.233650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:06.233650Z digest=sha256:bde6ac24f830d9c9e0a02f4fd1ebfc776ddf8cfcdd67c4eb6bdd0ddffae3ea78

Observation 28351fbb-d2bd-4793-b694-1416c3f96780 · outbound

This paper cites Redundancy principles for mllms benchmarks.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Redundancy principles for mllms benchmarks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T02:32:06.236716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T02:32:06.236716Z digest=sha256:52ec95c13d6c8d6cbab699117c8a018b7a3b3af491562d5568f86aee31a029e5

Pith citing papers

No inbound Pith citation observations are available.