Paper Citation Record · LEDGER

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding

As of 5 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2605.12185.

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

pith.paper-citation-record.v1
2605.12185 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T05:47:46.903550Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:01:39.067515Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T16:07:08.819257Z

Reference resolution

43 of 43 outbound references displayed

verified exact7
verified fuzzy35
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51b28900-3265-4fb5-89c6-ac1e71f39a15 · outbound

This paper cites Improving language understanding by generative pre-training.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Improving language understanding by generative pre-training

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.165714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d489dbde-b341-40f4-a81e-175cc73fc062 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.169732Z

Source-reported events for the cited work

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Observation a6f5b4a0-381b-42e2-842f-decef7547a4c · outbound

This paper cites Dolma: an open corpus of three trillion tokens for language model pretraining research.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Dolma: an open corpus of three trillion tokens for language model pretraining research

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.161810Z

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Observation 6229ef39-a7fe-421e-ac0f-11d72103e740 · outbound

This paper cites Instruction-tuned language models are better knowledge learners.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Instruction-tuned language models are better knowledge learners

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.173790Z

Source-reported events for the cited work

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Observation 84ce3a47-cc85-4b97-929f-72f849832c1c · outbound

This paper cites How do large language models capture the ever-changing world knowledge? a review of recent advances.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding How do large language models capture the ever-changing world knowledge? a review of recent advances

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.178081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de6f9bee-8504-4711-8741-86bca8fdb750 · outbound

This paper cites Knowledge Editing through Chain-of-Thought.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Knowledge Editing through Chain-of-Thought

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.817586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f53524c-345e-4b8f-b3bc-905b2b44135c · outbound

This paper cites Rich knowledge sources bring complex knowledge conflicts: Recalibrating models to reflect conflicting evidence.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Rich knowledge sources bring complex knowledge conflicts: Recalibrating models to reflect conflicting evidence

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.157814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2cc98841-0565-4402-92b2-54798a6ec24a · outbound

This paper cites Resolving Knowledge Conflicts in Large Language Models.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Resolving Knowledge Conflicts in Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.820796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 083f4146-4925-480d-bd43-012a4a3a3be6 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Retrieval-augmented generation for knowledge-intensive NLP tasks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.140921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 483fe287-ab90-4ea4-80c2-41120deb7789 · outbound

This paper cites Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Niko- lay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Niko- lay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:52:22.814623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de42624d-552a-467c-b8e1-a9df2a9b092b · outbound

This paper cites Making retrieval- augmented language models robust to irrelevant context.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Making retrieval- augmented language models robust to irrelevant context

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.137275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 922f2fe1-1b98-4773-96fb-604c0746a45f · outbound

This paper cites Retrieval meets long context large language models.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Retrieval meets long context large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.111772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 42850472-703d-4d08-8cb1-3f54c0c08d90 · outbound

This paper cites Wikicontradict: A benchmark for evaluating llms on real-world knowledge conflicts from wikipedia.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Wikicontradict: A benchmark for evaluating llms on real-world knowledge conflicts from wikipedia

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.107678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 967c3a93-8a1d-4f1c-96a7-3f207d810eea · outbound

This paper cites Conflictbank : A benchmark for evaluating the influence of knowledge conflicts in llms.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Conflictbank : A benchmark for evaluating the influence of knowledge conflicts in llms

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.120152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c0a7610c-e28b-419c-a740-fd4885a403de · outbound

This paper cites Tug-of-war between knowledge: Exploring and resolving knowledge conflicts in retrieval-augmented language models.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Tug-of-war between knowledge: Exploring and resolving knowledge conflicts in retrieval-augmented language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.116087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96797e29-e687-4cc8-a244-4ad08fe2cc37 · outbound

This paper cites TrueTeacher: Learning factual consistency evaluation with large lan- guage models.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding TrueTeacher: Learning factual consistency evaluation with large lan- guage models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.129129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4944b7c1-89d7-446d-89f0-484b4f2b48d5 · outbound

This paper cites DisentQA: Disentangling parametric and contextual knowl- edge with counterfactual question answering.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding DisentQA: Disentangling parametric and contextual knowl- edge with counterfactual question answering

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.149235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation af7a6848-672a-459a-988d-833f326d77c2 · outbound

This paper cites Trusting your evidence: Hallucinate less with context-aware decoding.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Trusting your evidence: Hallucinate less with context-aware decoding

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.124645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d70b095-338a-492a-9209-0c4a3bade585 · outbound

This paper cites Cognitive dissonance.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Cognitive dissonance

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.133460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee2a6ca6-b1b2-4508-9dc4-8fabfe037e43 · outbound

This paper cites Self-perception: An alternative interpretation of cognitive dissonance phenomena.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Self-perception: An alternative interpretation of cognitive dissonance phenomena

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.144805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 192945e2-aee1-40f5-b2ff-3b66f1d834b1 · outbound

This paper cites An introduction to cognitive dissonance theory and an overview of current perspectives on the theory.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding An introduction to cognitive dissonance theory and an overview of current perspectives on the theory

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.090495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa41c500-1de0-4c84-9831-8379c1286c4f · outbound

This paper cites Entity-based knowledge conflicts in question answering.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Entity-based knowledge conflicts in question answering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.094849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18ab527b-9252-4f59-ab32-96397015a4b8 · outbound

This paper cites Natural questions: A benchmark for question answering research.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Natural questions: A benchmark for question answering research

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.086379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 763c3635-0a0d-4e90-b9c4-35d3d4d2c6d9 · outbound

This paper cites TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.037360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba63e3a7-3c3e-424b-9737-3229cead2ae5 · outbound

This paper cites SQuAD: 100,000+ questions for machine comprehension of text.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding SQuAD: 100,000+ questions for machine comprehension of text

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.078098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4ab3aeb-c990-4afe-a616-e6c500657d69 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:52:22.805864Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc43d568-4b1e-479c-a4ef-a7a5f6327450 · outbound

This paper cites The Llama 3 Herd of Models.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding The Llama 3 Herd of Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:52:22.809105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c8707de0-a380-4466-b034-8c55753040fe · outbound

This paper cites Mistral 7B.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Mistral 7B

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:52:22.811593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b519def8-4483-4676-88df-b2b8cc658d21 · outbound

This paper cites Knowledge conflicts for LLMs: A survey.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Knowledge conflicts for LLMs: A survey

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.064825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d0e7182-cded-459b-8229-8227434416a0 · outbound

This paper cites Clasheval: Quantifying the tug-of-war between an llm’s internal prior and external evidence.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Clasheval: Quantifying the tug-of-war between an llm’s internal prior and external evidence

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.060900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f53384f8-f592-4f82-99ce-64860a03ccf9 · outbound

This paper cites Context-faithful prompting for large language models.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Context-faithful prompting for large language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.068890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a7c9882d-6f7c-4599-8cfa-ad3f71369eab · outbound

This paper cites When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.799862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76705f58-6e9c-4288-8051-cd580b45f3d4 · outbound

This paper cites Large language models with controllable working memory.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Large language models with controllable working memory

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.073722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 891a40fb-67d6-4152-9b2f-c4b5da375817 · outbound

This paper cites Improving factual consistency for knowledge-grounded dialogue systems via knowledge enhancement and alignment.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Improving factual consistency for knowledge-grounded dialogue systems via knowledge enhancement and alignment

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.082037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 189f1a86-7f4e-418e-b78d-66c562b77c20 · outbound

This paper cites Contrastive learning with hard negative samples.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Contrastive learning with hard negative samples

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.099043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6a9bee08-9d6b-4bd9-aef7-e070b9efafed · outbound

This paper cites Supervised contrastive learn- ing.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Supervised contrastive learn- ing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.052641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29eb700d-a43b-4174-97f6-616633cadec3 · outbound

This paper cites Contrastive decoding: Open-ended text generation as optimization.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Contrastive decoding: Open-ended text generation as optimization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.056774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7ffa415-f160-413c-b4d2-e96ae267356a · outbound

This paper cites Contrastive Decoding Improves Reasoning in Large Language Models.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Contrastive Decoding Improves Reasoning in Large Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.803005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6d98e4a-0d64-46b0-8975-46c397fb647b · outbound

This paper cites Discerning and resolving knowledge conflicts through adaptive decoding with contextual information-entropy constraint.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Discerning and resolving knowledge conflicts through adaptive decoding with contextual information-entropy constraint

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.103442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30ba7586-6aa7-45b3-970e-e4159acbd1f7 · outbound

This paper cites Adacad: Adap- tively decoding to balance conflicts between contextual and parametric knowledge.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Adacad: Adap- tively decoding to balance conflicts between contextual and parametric knowledge

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.044623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0b0f21d-c9dc-44e9-beaa-8f8552cfcd28 · outbound

This paper cites Get to the point: Summa- rization with pointer-generator networks.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Get to the point: Summa- rization with pointer-generator networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.048947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 342f8fdd-b5f7-40ca-9318-b290e52aad59 · outbound

This paper cites Don‘t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Don‘t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.040923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7361bbb-b27f-41e5-9edc-231de3a86881 · outbound

This paper cites Wikidata: a free collaborative knowl- edgebase.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Wikidata: a free collaborative knowl- edgebase

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:12:38.153488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation bcefdff7-f7ff-4731-a3e0-e6ea6d9b1387 · inbound

TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory cites this paper.

TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-07-02T16:07:08.820624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.