Paper Citation Record · LEDGER

CryptoX : Compositional Reasoning Evaluation of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2502.07813.

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

pith.paper-citation-record.v1
2502.07813 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:34:26.820347Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:26.867470Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:54:44.144191Z

Reference resolution

35 of 35 outbound references displayed

verified exact4
verified fuzzy4
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccb7eefd-a373-4959-8053-d187c253a598 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.701322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2681304e-4f9d-45bd-a739-a3b6aa88da22 · outbound

This paper cites an unresolved cited work.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:34:27.318246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d60f8ba-7cfb-405e-99b6-77643daf5c7a · outbound

This paper cites Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.709405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05336bf8-4c47-4db1-8a32-1b9d12459245 · outbound

This paper cites LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models.

CryptoX : Compositional Reasoning Evaluation of Large Language Models LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.713246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25176236-cd10-4602-85f3-52cccce66007 · outbound

This paper cites FOLIO: Natural Language Reasoning with First-Order Logic.

CryptoX : Compositional Reasoning Evaluation of Large Language Models FOLIO: Natural Language Reasoning with First-Order Logic

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.717301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 805903e1-86c1-4771-abe9-5859b9512c9c · outbound

This paper cites Measuring Massive Multitask Language Understanding.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Measuring Massive Multitask Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.720730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84af3a71-7359-4ca4-b4e7-e7c83c596b4c · outbound

This paper cites Jamba-1.5: Hybrid Transformer-Mamba Models at Scale.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.735307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3a0cd4-2022-4d65-9e2f-96e067fe4eb5 · outbound

This paper cites Jamba-1.5: Hybrid Transformer-Mamba Models at Scale.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.738811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1fdbbcd-5da7-4f93-bd9f-ec4bf45b17e8 · outbound

This paper cites Understanding and Patching Compositional Reasoning in LLMs.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Understanding and Patching Compositional Reasoning in LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.742368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8ba3d3-1d6f-4555-a55d-665076f171aa · outbound

This paper cites KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.

CryptoX : Compositional Reasoning Evaluation of Large Language Models KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.750021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 652a2938-4f87-4910-8a2f-cf95a524bc88 · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

CryptoX : Compositional Reasoning Evaluation of Large Language Models ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.754527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86c95cac-c9d8-4708-8375-4f91d80da6d3 · outbound

This paper cites CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.

CryptoX : Compositional Reasoning Evaluation of Large Language Models CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.761666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936b3ffc-bc94-46b8-958c-f6d1a55b483f · outbound

This paper cites GPT-4 Technical Report.

CryptoX : Compositional Reasoning Evaluation of Large Language Models GPT-4 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.765639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e0daa46-0ed4-4942-b1a6-267367916437 · outbound

This paper cites GPT-4 Technical Report.

CryptoX : Compositional Reasoning Evaluation of Large Language Models GPT-4 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.769019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e73fb4-2b23-4b32-9e9d-74a7a73040ba · outbound

This paper cites In Domain_Words, Words denotes the number of words encoded in the given question.

CryptoX : Compositional Reasoning Evaluation of Large Language Models In Domain_Words, Words denotes the number of words encoded in the given question

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:34:27.349044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 518baa32-b162-4b38-b82b-87fef3d11aff · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Measuring and Narrowing the Compositionality Gap in Language Models

Reference 22

Resolution: malformed identifier; no resolver link, observed 2026-08-08T18:34:26.775997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e6df3c-a392-48ea-ab19-f338dc71fe53 · outbound

This paper cites Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:34:26.969627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d93e3111-19dc-4ca9-b6e5-662e7f598c04 · outbound

This paper cites COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences.

CryptoX : Compositional Reasoning Evaluation of Large Language Models COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:34:26.954943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2c5ac7a-a6e2-4931-a46e-a312c619e32d · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.786749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60fb0b32-6fdd-4301-9796-28c7e711193a · outbound

This paper cites Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.790561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e2b4d0-6647-42c4-8a7e-ec9194fab777 · outbound

This paper cites Retrieval Head Mechanistically Explains Long-Context Factuality.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Retrieval Head Mechanistically Explains Long-Context Factuality

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.794369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f1b971-13f2-4aa7-9d9a-f6353a2c4c5d · outbound

This paper cites Qwen2.5 Technical Report.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Qwen2.5 Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.798112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8baab08c-8576-4f14-86ab-0fc728ceae9d · outbound

This paper cites Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.801743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10966f3b-5996-410e-af9f-27accce9a829 · outbound

This paper cites Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:34:26.855372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 04568401-4326-42b3-a0e7-5d7d9dfb16fa · outbound

This paper cites In Domain_Words, Words denotes the number of words encoded in the given question.

CryptoX : Compositional Reasoning Evaluation of Large Language Models In Domain_Words, Words denotes the number of words encoded in the given question

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:34:27.338667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a4687c2-516c-4ca2-bdd8-a90eccde5856 · outbound

This paper cites gold standard.

CryptoX : Compositional Reasoning Evaluation of Large Language Models gold standard

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:34:27.328482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e895137-0b86-46ec-8ca1-f56957b41db5 · outbound

This paper cites WHICH FOOTBALL TEAM WON THE WORLD CUP IN 2018 AND THROUGH WHICH LENS OF CHILDHOOD EYES DID THE SOLDIERS?.

CryptoX : Compositional Reasoning Evaluation of Large Language Models WHICH FOOTBALL TEAM WON THE WORLD CUP IN 2018 AND THROUGH WHICH LENS OF CHILDHOOD EYES DID THE SOLDIERS?

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:34:27.308028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c184897-55e0-4151-b955-7fb4c9ef0f5a · outbound

This paper cites an unresolved cited work.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Unresolved cited work

Reference 2002

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:34:27.361364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f167447c-541c-45e9-8052-3bb18fb2021d · outbound

This paper cites MdEval: Massively Multilingual Code Debugging.

CryptoX : Compositional Reasoning Evaluation of Large Language Models MdEval: Massively Multilingual Code Debugging

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.746312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1257f69c-e07f-4bb1-aeac-b723add7ebc4 · outbound

This paper cites Nostalgebraist.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Nostalgebraist

Reference 2017

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T18:34:27.189377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aea7e8c3-cfe4-41e4-ab65-61c26e5b097a · outbound

This paper cites an unresolved cited work.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:34:27.371913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 819165ce-9185-4f63-90b9-ad869203cfcd · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.724372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b990aa96-800a-4fad-a30c-3b72dc7b3148 · outbound

This paper cites The Llama 3 Herd of Models.

CryptoX : Compositional Reasoning Evaluation of Large Language Models The Llama 3 Herd of Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.705289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f6b8b88-8861-4f05-9c91-f210d82fe01a · outbound

This paper cites Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.696989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b70aba3-ed82-4839-b29d-c718607ce05a · outbound

This paper cites Program Synthesis with Large Language Models.

CryptoX : Compositional Reasoning Evaluation of Large Language Models Program Synthesis with Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:26.692438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 21535db2-bb2d-4c3f-a2ec-3be81e92849b · inbound

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation cites this paper.

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation CryptoX : Compositional Reasoning Evaluation of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:26.867470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e24ea313-392a-407b-8bb5-786d85133471 · inbound

JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data cites this paper.

JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data CryptoX : Compositional Reasoning Evaluation of Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:54:44.146308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.