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Paper Citation Record · LEDGER

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2402.14848.

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

pith.paper-citation-record.v1
2402.14848 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:25:16.880139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:44.146415Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0edffe73-7ca3-4eec-a313-dde7174a971c · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:55:20.495161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:75565b122d7697cdfaf00774fbe8dd86c86743d0f537b4717a6e7e191c63ec05

Observation 18fa9dbf-b354-4621-93ec-2572e4ff9380 · inbound

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models cites this paper.

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:37:31.859536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:36:32.897387Z digest=sha256:3084654b91262d54306f8a37ff63283c6dcc976a91bf01f82d5be2cd5903b268

Observation d5b394f4-c6a7-4a30-8bc6-ee4cdde6c0cb · inbound

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? cites this paper.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T20:25:16.880139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:25:16.880139Z digest=sha256:3f6007a6af908337250177026b3879374769eb16f0f3e3e45fcde3988d0e7d71

Observation d4dbc5a6-4e98-4ca8-bc43-46d3b93fc7b2 · inbound

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" cites this paper.

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T17:26:43.449752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:26:43.449752Z digest=sha256:96dd3f3b441e2846ef3e67766a4dbe1d9905da6cd405bed122d625af27e59a8b

Observation 9475e65c-a6be-46b8-a2d2-2305ba6e4f0c · inbound

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds cites this paper.

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:40.053099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:17:40.053099Z digest=sha256:9571f35c21aedeeadfe2debde41082f3be52a006e4b0fd8af926c366c521c99d

Observation 7abef490-9b95-4885-84c1-87d9538e0cdf · inbound

Dynamic and Parametric Retrieval-Augmented Generation cites this paper.

Dynamic and Parametric Retrieval-Augmented Generation Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:56.269249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:54:56.269249Z digest=sha256:1c33640cd6fc02258580b7f6d1c519f9678605910c1864b5aff2896631c34ca2

Observation 46e7df25-ac77-4d04-9462-d99369b38e5e · inbound

Semantic Caching for Improving Web Affordability cites this paper.

Semantic Caching for Improving Web Affordability Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:11.712751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:11.712751Z digest=sha256:25a77ca9e2e7cc809e1e58bdbe746b19c608bc03016e7ea1727bb5e2dfced100

Observation 27f1d89e-e28c-4da5-92f2-6f8fb8cd7e62 · inbound

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction cites this paper.

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:57.117300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:57.117300Z digest=sha256:7255670b69d871a8d5f7b4f3db20f1a6c01ac8a97dd252730db36ff5dcc01dfd

Observation af92b19a-f8d6-46d1-ab42-40562cd14894 · inbound

PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation cites this paper.

PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:47:02.391971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-19T03:43:28.543349Z digest=sha256:ecad65fa83cc349f3da2645b478033bc830488c8ad7b89876b39cb05e0e1f200

Observation 44086d32-0ad4-4a77-bbc6-9bc687ccff12 · inbound

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models cites this paper.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T14:14:26.113516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:14:26.113516Z digest=sha256:7e019cfd2ff90314fdb4e32538087cb75abc553f3a205c581f01a56f3fe1d59f

Observation 4693dc45-71fb-4baa-96fd-af8460873a35 · inbound

Can Old Tests Do New Tricks for Resolving SWE Issues? cites this paper.

Can Old Tests Do New Tricks for Resolving SWE Issues? Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.266546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T05:28:35.528370Z digest=sha256:ad83ab24c069a6d257422478bfd0bc8a7d35d313442c10c4695db49e295bd613

Observation 79c0cea8-e5a6-46d0-adfe-17fcfdcde98e · inbound

Hidden State Poisoning Attacks against Mamba-based Language Models cites this paper.

Hidden State Poisoning Attacks against Mamba-based Language Models Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:18:14.524948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T18:15:05.108462Z digest=sha256:448be930cd94e3a49ce3d3d432c97f77b805cbb2ff4ccaf35b05ebb90324ef74

Observation 9af59aa7-5dc6-4ab9-bc4c-c90d8dd0a9d3 · inbound

Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation cites this paper.

Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-15T13:29:23.443771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:29:23.443771Z digest=sha256:43640a32d1aa1325932969c45221bddbcee3e9a34a6047316896332461059a32

Observation 1011dd4b-39e1-4225-a2bb-edbcfed76820 · inbound

TCARD: Nearly Balanced Two-Level Designs with Treatment Cardinality Constraints with an Application to LLM Prompt Engineering cites this paper.

TCARD: Nearly Balanced Two-Level Designs with Treatment Cardinality Constraints with an Application to LLM Prompt Engineering Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:19:28.983879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T03:15:18.040635Z digest=sha256:b6fdbd2877084bcc4382b2da2c327a7b836584a1e3b333e29ca4714bab669548

Observation 249e235f-e164-42b3-986f-9d2b7979b195 · inbound

ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions cites this paper.

ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:24:50.203590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T15:17:37.904831Z digest=sha256:96df7aecda122212cefe2ec3fd700e58d4ca087383dcdbf4560614e6e848fb2a

Observation b87c3b05-5be7-4ad2-9378-698b375aa517 · inbound

UNIVID: Unified Vision-Language Model for Video Moderation cites this paper.

UNIVID: Unified Vision-Language Model for Video Moderation Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:07:09.222890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T22:56:26.674841Z digest=sha256:126cdb049622adee207919a33264f494ecd449cfb5f61db0e554f19fd9c0398d

Observation 2cc976c9-3920-4cce-815b-9f529ad72761 · inbound

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot cites this paper.

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:37:43.434936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T12:30:36.583656Z digest=sha256:1674d83702f88e538a43edf4dc96f9db83486b4fd551d05d859fa49800265a93

Observation 25d22879-ff00-4005-9429-e65d18d4e86e · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 130

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:57:41.478714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:e34a259dd3cdd772f1f13d29133d48f2df63977c81b1182f0416f1024b87d67b

Observation 0d6718e5-c370-4b9b-92f8-9e6b123b3368 · inbound

LLM-as-Code: Agentic Programming for Agent Harness cites this paper.

LLM-as-Code: Agentic Programming for Agent Harness Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:18:44.147980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T04:16:58.964046Z digest=sha256:6b6a90e68aae92aaffaa61b81ab13fe0f90b995185a48229c2e339c974451c77

Observation b1939949-deb0-4db1-8b64-6757214a0c60 · inbound

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-14T10:51:16.019022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:6031a05661a512000d0bf6bca299e8cd92bf3cb74e55b72ec8a73b147e2d95f7

Observation 47042f68-8471-45c6-8553-02cf6ad08769 · inbound

Lost in Context: Addressing Context Anxiety in Large Language Models cites this paper.

Lost in Context: Addressing Context Anxiety in Large Language Models Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T12:47:56.693140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:47:56.693140Z digest=sha256:c966afc765804ab553c67b31aed95d35531ef36386de3501d9e79ee19cf5f147