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Paper Citation Record · LEDGER

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture

As of 9 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2605.27373.

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

pith.paper-citation-record.v1
2605.27373 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T09:14:27.645342Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa9440d3-91ba-4bd3-9f4e-00637cfc55c2 · outbound

This paper cites Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions.

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T09:14:27.645342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:14:27.645342Z digest=sha256:435a22d32b3ec8c3de2644b413a1e91fbefabbfd1408fc2a2b218616eb9a6143

Observation af611e32-811f-4aca-9f74-f3fe432d421a · outbound

This paper cites an unresolved cited work.

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T09:14:27.645342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:14:27.645342Z digest=sha256:34cddef32656c5c5ad5ac3f8626f48a36d0a5f409e0c13a59b65ba8ccc0213dc

Observation dcfa2452-7d7a-4cc5-a3ac-cce52e2a8d4e · outbound

This paper cites Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions.

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T09:14:27.645342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:14:27.645342Z digest=sha256:a8f6be65a00b92169d959e0895f95d3d14e065b44b3a5ad510524787adc8f937

Observation 61cd57a8-8d89-4879-9dc0-7d8c87e53839 · outbound

This paper cites Enabling Value Sensitive AI Systems through Participatory Design Fictions.

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture Enabling Value Sensitive AI Systems through Participatory Design Fictions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T09:14:27.645342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:14:27.645342Z digest=sha256:77ea4be82c4dd57aa46fafefdc537b201e69491c0cf7a2644e3862fdb7e22165

Observation 23123ccc-23a0-44e7-856d-67c1e65757d9 · outbound

This paper cites Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for Identifying Human Values from Arguments.

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for Identifying Human Values from Arguments

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T09:14:27.645342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:14:27.645342Z digest=sha256:49908e3cac77402eb7a623badcff1fbfe148c5f2b7cfa5ce374e0692a212167d

Observation 350927fa-f4fc-4006-8273-5a9e351a5fdc · outbound

This paper cites Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models.

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T09:14:27.645342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:14:27.645342Z digest=sha256:0163f54b338ccf0a7b11b26b773f05eb0ea0500a2542edc31c477e1e598fa80e

Observation 7db57dac-d161-491a-8544-19e6dbb615ff · outbound

This paper cites Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text Classification.

Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text Classification

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T09:14:27.645342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:14:27.645342Z digest=sha256:4180a76b34be2d61a96e0942637a1dbdf590c9034455f3eb1c2f00c1b9714206

Pith citing papers

No inbound Pith citation observations are available.