Paper Citation Record · LEDGER

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

As of 13 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-12T06:30:05.999651+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:17:37.904831Z

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.

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 2026-07-12T06:30:05.999651+00:00.