Paper Citation Record · LEDGER

Enhancing LLM Character-Level Manipulation via Divide and Conquer

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 3 inbound Pith citation observations for arXiv:2502.08180.

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

pith.paper-citation-record.v1
2502.08180 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:10:44.442182Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:26:33.682038Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy1
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 8d96e0cc-b37d-4838-857b-921ebc487737 · outbound

This paper cites URL: " 'urlintro :=.

Enhancing LLM Character-Level Manipulation via Divide and Conquer URL: " 'urlintro :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.336515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85af11ec-122e-4cab-919f-633e1e78f257 · outbound

This paper cites write newline.

Enhancing LLM Character-Level Manipulation via Divide and Conquer write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.342175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa80304-020b-4b5b-a6fe-8b0a762a150d · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.347345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb534aea-6881-443c-a73c-8147a5680d4b · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.351866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c0d385-6fa2-4965-8bc4-1b1849564b8b · outbound

This paper cites On the application of Large Language Models for language teaching and assessment technology.

Enhancing LLM Character-Level Manipulation via Divide and Conquer On the application of Large Language Models for language teaching and assessment technology

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.356016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57fda734-4217-4d60-9f82-09ac918dc869 · outbound

This paper cites Tokenization Falling Short: On Subword Robustness in Large Language Models.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Tokenization Falling Short: On Subword Robustness in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.360310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fb282e-4fe4-4279-87e2-49a88b54d4e7 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Evaluating Large Language Models Trained on Code

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.363934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b8938a7-689a-4c80-b59b-7a2bb1cd2ae5 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.367308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cd3f745-ca93-42fb-a646-ee39547589e8 · outbound

This paper cites The Llama 3 Herd of Models.

Enhancing LLM Character-Level Manipulation via Divide and Conquer The Llama 3 Herd of Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.370786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6454c91-2f4f-4493-9217-530be7d592dc · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.374479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5365e2ce-aa62-42c4-88b8-3f0a78c997e9 · outbound

This paper cites LMentry: A Language Model Benchmark of Elementary Language Tasks.

Enhancing LLM Character-Level Manipulation via Divide and Conquer LMentry: A Language Model Benchmark of Elementary Language Tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.377709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3021f8-8633-4e90-b684-fd05fba00356 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.381505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78cda2c-7646-4ba9-90a9-d5db4a994d40 · outbound

This paper cites From Tokens to Words: On the Inner Lexicon of LLMs.

Enhancing LLM Character-Level Manipulation via Divide and Conquer From Tokens to Words: On the Inner Lexicon of LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.385390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e626db1-83ad-4490-ad87-03f0cbc652d4 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.389635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f6d514-ffed-43ba-8917-0ea546606ac6 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.393439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb22310-7410-4c1a-930a-d6824feba6a5 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.397726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 147a454c-7c88-41fc-8325-ce69cd757120 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.401389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69aa80b-dfca-4cc0-88bc-2d957573b60f · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Gemma 2: Improving Open Language Models at a Practical Size

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.405274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93b2780-ee35-4450-a44e-fad8e7b6ba51 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.409934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196034a2-43b3-4cf2-a82e-220820b2af3d · outbound

This paper cites Exploring the Robustness of Large Language Models for Solving Programming Problems.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Exploring the Robustness of Large Language Models for Solving Programming Problems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.413793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0241334-7cbe-42ff-aae5-bc58e760bc54 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-08T10:10:44.670893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c52d40bb-1567-42f7-9848-3ac0e6dbb72d · outbound

This paper cites Gomez, ukasz Kaiser, and Illia Polosukhin.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Gomez, ukasz Kaiser, and Illia Polosukhin

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.421897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8e66dbe-b703-4e63-9929-3981d5460b4f · outbound

This paper cites Dai, and Quoc V Le.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Dai, and Quoc V Le

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.425779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62861f75-58ca-4aa5-9464-a71496cbb894 · outbound

This paper cites Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.429535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b80b60f-add5-400b-b854-5df8514834db · outbound

This paper cites Chi, Quoc V Le, and Denny Zhou.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Chi, Quoc V Le, and Denny Zhou

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:10:44.640065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26c976fc-7535-489d-9c9c-df811fa87b75 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.438002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d4dc5e-a2a5-4d4f-a72d-05b04e2a5468 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:44.442182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1c402b66-f3fe-41f8-8b49-955472013c6c · inbound

Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters cites this paper.

Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters Enhancing LLM Character-Level Manipulation via Divide and Conquer

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:33.682038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bfaba95-5d3a-4853-9af2-d2d782d265a4 · inbound

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Enhancing LLM Character-Level Manipulation via Divide and Conquer

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-06-27T22:31:21.416542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c8f1418-6c6d-47e8-820a-f65a8c25c593 · inbound

Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models cites this paper.

Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models Enhancing LLM Character-Level Manipulation via Divide and Conquer

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-10T09:37:00.852125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.