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Paper Citation Record · LEDGER

Premise Order Matters in Reasoning with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2402.08939.

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

pith.paper-citation-record.v1
2402.08939 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:11:43.114934Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0a407f53-3870-479f-a04c-a46cc2441bd5 · inbound

Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions cites this paper.

Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions Premise Order Matters in Reasoning with Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T14:30:26.536327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:30:26.536327Z digest=sha256:599b535ecff754507d186a086a271b0c90a53140d0f23aa006cf99c995ce1061

Observation 25e592c3-9ec2-41ac-92a0-4937fd2a9a90 · inbound

RoToR: Towards More Reliable Responses for Order-Invariant Inputs cites this paper.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Premise Order Matters in Reasoning with Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.114934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.114934Z digest=sha256:988055fae2bf196e1625a36513272798b7a89823d6a3d394f24b54d36b3ef627

Observation 0d7ef445-02df-496d-bb81-bf337597a535 · inbound

Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge cites this paper.

Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge Premise Order Matters in Reasoning with Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:08.450887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:28:08.450887Z digest=sha256:323c38e7d42e3e2dcbc5041985278ba495f1e8e0af3932121ec4c6b9b288c095

Observation 7ce84ff6-7786-4c29-b7ba-cf96c446c24a · inbound

Fragile Preferences: A Deep Dive Into Order Effects in Large Language Models cites this paper.

Fragile Preferences: A Deep Dive Into Order Effects in Large Language Models Premise Order Matters in Reasoning with Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:01.282548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:01.282548Z digest=sha256:896e978e35c6e059c73fff467bf5aa6597c29788e6af6e153414c767571ac1cc

Observation bdc88c7a-92fe-40a1-8bab-60dea9300c10 · inbound

Hierarchical Reasoning Model cites this paper.

Hierarchical Reasoning Model Premise Order Matters in Reasoning with Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:58:03.448911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T04:58:03.283911Z digest=sha256:547526b9d39a7f88dd31a8472e7a44cdbd8c20a6ecd5c4a3c0e1fd7247b3a9a7

Observation 5c322be9-b2ec-4cc2-8310-145178fed173 · inbound

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation cites this paper.

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation Premise Order Matters in Reasoning with Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:19.023690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:31:19.023690Z digest=sha256:e7419c6daf9206eda9394119d1d3f5d09d388d1c82c6a5289f1716bfa3e689ed

Observation e01b675f-e5df-4299-a665-2789d87dab78 · inbound

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering cites this paper.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Premise Order Matters in Reasoning with Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.641538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.641538Z digest=sha256:5c609f90f0ff5ae92c57cb95cbaa249faca58f3d9894dcdbfeae00300f67c273

Observation ee658f95-f988-4f5e-81c7-455f8ada20ba · inbound

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations cites this paper.

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations Premise Order Matters in Reasoning with Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T17:26:38.300315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:26:38.300315Z digest=sha256:6d4563ec58f31e24c2d090bac93b2d47dfca8acbbef126ddb9e95116fcc9643f

Observation 53c596e5-8cd3-4d39-a369-adc2eeea119f · inbound

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation cites this paper.

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation Premise Order Matters in Reasoning with Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:36:25.815627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T10:33:28.276228Z digest=sha256:73714aa243627ff0cb772cb4470360fa58806490cb6a24d9213c096de31db352

Observation 79e12094-b2aa-475e-8b34-4a4bf6e2eb3a · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Premise Order Matters in Reasoning with Large Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-09T19:05:10.443784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T19:02:46.991897Z digest=sha256:88aaaec7669d894dc4485cf93121c9bf111ecbb4d6dfc5a52834f313d2b5ba6d

Observation 94f91cf9-5f68-4fa6-9ac8-63edb3cc525d · inbound

CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction cites this paper.

CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction Premise Order Matters in Reasoning with Large Language Models

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:46:55.968502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T02:57:54.629402Z digest=sha256:6c3236645fe00f71fb20b165f72fd17d4f1c62895b08804a8be7edfacf010982

Observation 1930509e-e4ce-4da5-8e9d-6468ab9b47c8 · inbound

Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models cites this paper.

Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models Premise Order Matters in Reasoning with Large Language Models

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:40:07.560582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T19:58:23.594907Z digest=sha256:67a1b0e694a0a12aadf2eb67920dbae652d818f6b2b37ffa6afb6c111cb214aa

Observation 10384184-ee67-41fd-93de-86f96851c1ea · inbound

PARTREP: Learning What to Repeat for Decoder-only LLMs cites this paper.

PARTREP: Learning What to Repeat for Decoder-only LLMs Premise Order Matters in Reasoning with Large Language Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:18:32.826946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T15:15:07.275852Z digest=sha256:78565e9237db21573c8d6e3f970a78f82db6eb4e36585725b979ea38129684ad