Paper Citation Record · LEDGER

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences?

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.21055.

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

pith.paper-citation-record.v1
2507.21055 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:02:24.669321Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy24
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df1ecae5-f80a-4ada-8913-9a6c9d2b00a4 · outbound

This paper cites Are news audiences increasingly fragmented? a cross-national comparative analysis of cross-platform news audience fragmentation and duplication.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Are news audiences increasingly fragmented? a cross-national comparative analysis of cross-platform news audience fragmentation and duplication

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.959060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06ecf25c-bcf7-4e9a-bf68-1c29725952c8 · outbound

This paper cites News dissemination: a semantic approach to barrier classification.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? News dissemination: a semantic approach to barrier classification

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.948938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ffeb3053-e7ea-4f2a-a765-112ed918f7bb · outbound

This paper cites Media Bias: Examining the Facts.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Media Bias: Examining the Facts

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.939284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76695856-fca6-4e84-84f1-0c0ee3de9e7e · outbound

This paper cites Making sense of policy practices: Interpretation and meaning.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Making sense of policy practices: Interpretation and meaning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.929673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 342bc78f-765e-4401-99c7-71a78e0bc08b · outbound

This paper cites Interpreting public sentiment in diplomacy events: A counterfactual analysis framework using large language models.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Interpreting public sentiment in diplomacy events: A counterfactual analysis framework using large language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.920384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 071483ec-03cb-42ea-8a9f-da794e3f6a72 · outbound

This paper cites glorified minute takers.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? glorified minute takers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.910723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67e8c4c2-28cb-41ef-b477-f3cbf0743b0b · outbound

This paper cites Large language models (LLMs).

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Large language models (LLMs)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.900846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d17f0c99-b941-4d36-b232-da6bceb0d1c3 · outbound

This paper cites Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:02:24.603918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82116a09-7e7d-4c7e-b6bc-5d14a68e300a · outbound

This paper cites Cognitive communication theory, 2022.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Cognitive communication theory, 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.890383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 606accc5-ad5f-406e-88c8-429caab406de · outbound

This paper cites A sparsity algorithm for finding optimal counterfactual explanations: Application to corporate credit rating.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? A sparsity algorithm for finding optimal counterfactual explanations: Application to corporate credit rating

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.880338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54c9d150-d7a4-4f29-aa26-255fe15628c5 · outbound

This paper cites The social construction of reality.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? The social construction of reality

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.870245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2af7cc1b-d83c-49e2-9ecc-a868b60aef93 · outbound

This paper cites Episodic and semantic memory.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Episodic and semantic memory

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:02:24.616987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3524f93d-01f4-495f-a117-df26857e7157 · outbound

This paper cites Memory systems of the brain: a brief history and current perspective.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Memory systems of the brain: a brief history and current perspective

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.854460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f035f8ea-b39c-4986-b86d-094e97c541b5 · outbound

This paper cites Social cognition 2.0: An interactive memory systems account.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Social cognition 2.0: An interactive memory systems account

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.844860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26c23454-3601-410b-aae9-6b1bfb214095 · outbound

This paper cites Semantic memory and stored knowledge.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Semantic memory and stored knowledge

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.834262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a699b981-d9b6-40ed-a53a-c7a729712fca · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? A-MEM: Agentic Memory for LLM Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:02:24.630026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91f1cb8f-0a30-4d79-88d7-d027af644427 · outbound

This paper cites What about “space” is important for episodic memory? Wiley Interdisciplinary Reviews: Cognitive Science, 14(3):e1645, 2023.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? What about “space” is important for episodic memory? Wiley Interdisciplinary Reviews: Cognitive Science, 14(3):e1645, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.824434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87ae8e9b-fccb-42f2-8488-f30eafe5ac65 · outbound

This paper cites Theories of episodic memory.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Theories of episodic memory

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.814987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d48b7ce-0586-42b3-84cb-99627832f6cf · outbound

This paper cites Procedural memory.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Procedural memory

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.805695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be139bd3-d4f5-423c-b8b9-01de4cedc50c · outbound

This paper cites The development of memory and reasoning skill in argumentative contexts: Evaluating, explaining, and generating evidence.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? The development of memory and reasoning skill in argumentative contexts: Evaluating, explaining, and generating evidence

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.796457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4995ba04-b836-41e5-b2a2-53b088dabfa6 · outbound

This paper cites News classification and its techniques: a review.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? News classification and its techniques: a review

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.787785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91e99a3a-e937-4516-a3f0-9b18eaee1b3d · outbound

This paper cites Human conflict: Disagreement, misunderstanding, and problematic talk.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Human conflict: Disagreement, misunderstanding, and problematic talk

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.778293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10ef7296-4b5e-4772-83ef-e9cfa2b1c33e · outbound

This paper cites Ecc analyzer: Extracting trading signal from earnings conference calls using large language model for stock volatility prediction.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Ecc analyzer: Extracting trading signal from earnings conference calls using large language model for stock volatility prediction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.767330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e77ba3d2-0714-437b-8e7d-00594df0966b · outbound

This paper cites Risklabs: Predicting financial risk using large language model based on multi-sources data.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Risklabs: Predicting financial risk using large language model based on multi-sources data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.757539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6b0ea4d-bef4-48b1-b3e9-00ef58b4a5da · outbound

This paper cites Catmemo@ ijcai 2024 finllm challenge: Fine-tuning large language models using data fusion in financial applications.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Catmemo@ ijcai 2024 finllm challenge: Fine-tuning large language models using data fusion in financial applications

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.746895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92872871-0a70-40ee-900c-18e463c9fda7 · outbound

This paper cites Finmem: A performance-enhanced llm trading agent with layered memory and character design.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Finmem: A performance-enhanced llm trading agent with layered memory and character design

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.737057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47b33f55-8468-4d74-873e-7c3623174a1f · outbound

This paper cites Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:02:24.666121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d38851-075b-4dda-ad70-b6d422c2c307 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences? Generative agents: Interactive simulacra of human behavior

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:02:24.720103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.