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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 14 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 2026-08-14T06:32:32.682623+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=sha256:5b42693e61dc7f426194ac64cb63de505e0bc1fda83016f1d7f6209ffcfc2188

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=sha256:407fc81781323793e369cbc57b7eb8f90731a9d4a8e928a94586a3a35a9280b9

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=sha256:8a2faf9ce9ad70dacfc98ff7e54a32ebf7945610094051de202dd2dee672470c

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:d533a077eb4e867e0bc8e5d3043341d0d6e0ce0db36a80a70bc8699f6a8649ad

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=sha256:73eb872472dacae5dfbdb4649ae72c71d68467fe4c8fbd76e7269032beadf83e

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=sha256:6df12e58c9e34e44f23085de0c63225260d9da54f5fc73e8ea315714b5c64473

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=sha256:471b83a0019ea2a53817f4c90f0417ea63adc143c74eb0b75282314362d3725b

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=sha256:522773e088b5fcab1035c990c5f02dca28d7c29dbe9c5f9ce829e6c72bf6579a

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:f3f0726f13d637b7561b52558d4360f6f5531c7fdf0faf91bbe4e5d4f4f6e2d5

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=sha256:9273cdb41332fff1c0e48a4de7fdda1e5805726d31df000b961671d9b458ba88

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=sha256:6cf94a0b6c4ac8aaf4e42d0ebb3571211bda8792dde102096fd6af68f32e624f

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=sha256:44d59a0fe2ce63cbc9268e1a8710313c8e5102ea4689b0b876a98b8154f6982d

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=sha256:4f9349b073c653428f37ae1ae408050b4ffbc40ebc5d693aea4ed336d1fceccd

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=sha256:488f48061ab1109f89ee7d7ffbc516f89c9afa1a7ab30b451bbae7484e07f959

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=sha256:7b07032c44cd351b99c9e2469ae9685ef8fff8d71dae5c278736945335239b8b

Pith citing papers

No inbound Pith citation observations are available.