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Paper Citation Record · LEDGER

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2605.27388.

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

pith.paper-citation-record.v1
2605.27388 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T22:35:38.307667Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c919d359-32a6-4d5a-b38f-70506337b5c2 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:c33258eac353ad4b115d534b0bd2d3d553034bbc19be535278bc0782c1493b27

Observation d087c44b-9461-4532-b56a-0e8bd1a2c4ce · outbound

This paper cites AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:236dc3e309e5af10c42c67b76405d44eddfccdd450484403ad762698a2b9bc33

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:1e216dc5e1e636f71d71468ee7e46cd4f6e61a719fa99c7f98c3e673d972a9e7

Observation 96574d4b-725e-462a-8cdc-b2041ee50795 · outbound

This paper cites Provide your best guess using the same response format (exactly one lowercase English adjective).

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Provide your best guess using the same response format (exactly one lowercase English adjective)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:d380238875aa09eeecaeab95efdc22bcd3f507812bb002947a030754055f6e20

Observation 5c2a32a1-1d60-47f7-901d-0d5ee98b7e26 · outbound

This paper cites Your task is to identify its production-oriented conversational tone - that is, the author’s way of writing/speaking, not necessarily how others might perceive it.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Your task is to identify its production-oriented conversational tone - that is, the author’s way of writing/speaking, not necessarily how others might perceive it

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:85a5262044454ea44e9567e9da8cbc39d9bb70f3f1d2c9e11222f64d136035f9

Observation 36b4495d-b164-4413-94a3-2f50528109b0 · outbound

This paper cites an unresolved cited work.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:919a45428d1ed36c2c47b62f4a25b7d8641b2222a49876b89ad48917c331ae21

Observation 27836e02-2caa-466d-b6ad-05016de1212b · outbound

This paper cites Your response must be exactly one lowercase English adjective (no other formats will be accepted).

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Your response must be exactly one lowercase English adjective (no other formats will be accepted)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:ed0e4b20a8697295e98cd5457efb42adcf60f94e373e914c3ff3a440e157a7c0

Observation 1cc08efb-922d-442b-b30c-554b29078601 · outbound

This paper cites Provide your best guess using the same response format (exactly one lowercase English adjective).

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Provide your best guess using the same response format (exactly one lowercase English adjective)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:d4f246cc369c65b2df843140e6a4a92cf2923912978d9f13d44222cfed6876dd

Observation 36441a08-085f-4016-b8ce-2bb5a3fd67a8 · outbound

This paper cites The objective is to generate a short, natural-sounding comment that plausibly reflects how some Reddit user might have reacted.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities The objective is to generate a short, natural-sounding comment that plausibly reflects how some Reddit user might have reacted

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:8631e65c96e030807ec9cb3f1c8518bed620057ae5fda25b2d83c1cf51977799

Observation 533d3811-1242-4fb3-9423-9774d6c83c75 · outbound

This paper cites an unresolved cited work.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:4cad1095432630f1019fa73f5d6d7cf0412b9aad2246ad1207af158c023b5942

Observation 2f10c5da-94c0-4c33-9fe7-e8254a62396c · outbound

This paper cites Base your comment solely on the given inputs and your understanding of how a person (reddit user) might respond.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Base your comment solely on the given inputs and your understanding of how a person (reddit user) might respond

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:2fad331d26f4eca3aed212b587db960027f1e5af77566303f0343d4fc4fca750

Observation b718ca11-2258-4f8a-b7c2-08770c03489a · outbound

This paper cites The objective is to generate a short, natural-sounding comment that plausibly reflects how someone from that community would have reacted.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities The objective is to generate a short, natural-sounding comment that plausibly reflects how someone from that community would have reacted

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:eec0a8c72cc41acfa4aa2a272bdf638448a178a89d6ae21dc6bddb4adbdef49e

Observation 5d67550c-7080-4e51-ab9a-cfca0bf6be96 · outbound

This paper cites an unresolved cited work.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:8297123d435d48b3d36d4fb00b9d43f7a164e1fc868e5b8be3857e7eec35db37

Observation e42c253b-ebe2-492d-a9e4-2306bb0ff353 · outbound

This paper cites Do not include explanations, disclaimers, instructions, or any text outside the comment itself.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Do not include explanations, disclaimers, instructions, or any text outside the comment itself

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:9523bf9257264a8457a59c4eb0a71092cf92e16b7da109d6717654dd345d207b

Observation 4b77ee65-34a3-4dc2-9bfd-a1c86241a332 · outbound

This paper cites Base your comment solely on the given inputs and your understanding of how the specified community might plausibly respond.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Base your comment solely on the given inputs and your understanding of how the specified community might plausibly respond

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:1155967b653e7cd66a9b62afbc883a0b441ca099b64b588569f0a259974465fd

Pith citing papers

No inbound Pith citation observations are available.