Paper Citation Record · LEDGER

OpenAssistant Conversations -- Democratizing Large Language Model Alignment

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 46 inbound Pith citation observations for arXiv:2304.07327.

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

pith.paper-citation-record.v1
2304.07327 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:34:53.498197Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

135
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 811fab57-63fd-450a-9bde-ec0cee094be3 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 189

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:46:39.805630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a2315af5-e2e2-4468-b6bf-953efd1072af · inbound

WizardLM: Empowering large pre-trained language models to follow complex instructions cites this paper.

WizardLM: Empowering large pre-trained language models to follow complex instructions OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:28:24.894969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ad556f4-3534-4373-8392-1010f1851b2e · inbound

LIMA: Less Is More for Alignment cites this paper.

LIMA: Less Is More for Alignment OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T11:34:12.980332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d4f0b2f0-be82-404b-9a75-97819f2f9431 · inbound

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations cites this paper.

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 244

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:25:08.139819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87542d0a-d63c-49a2-8e58-1607469fb7f0 · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:29:53.898690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0b41416-d58c-4176-9f98-fb9772bc5685 · inbound

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T18:52:59.090974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9db8c4ba-7e20-445e-a146-9065dfb1a9a4 · inbound

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs cites this paper.

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 84

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T11:11:21.579806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e117b42-fa35-4fe3-976c-c8c37299e9cc · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T12:01:42.430273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a52d393b-6c1a-47af-bd17-c1150435c548 · inbound

KTO: Model Alignment as Prospect Theoretic Optimization cites this paper.

KTO: Model Alignment as Prospect Theoretic Optimization OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:17:53.532440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b24a6942-e6d2-471c-a7bb-af102a2d591d · inbound

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget cites this paper.

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:53:53.978954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f11fac4b-690e-41c0-9b00-9d3fcafd6822 · inbound

WildChat: 1M ChatGPT Interaction Logs in the Wild cites this paper.

WildChat: 1M ChatGPT Interaction Logs in the Wild OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:43:02.204986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0fd371f-ebad-49eb-9aa2-71bb5fca342f · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 257

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:38:37.061030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f87bb47-eedd-40f7-85f3-765deca11972 · inbound

Efficient Alignment of Large Language Models via Data Sampling cites this paper.

Efficient Alignment of Large Language Models via Data Sampling OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T19:40:15.635852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf4bd2a-19b9-4e2c-9a0d-bcfdf2c6f926 · inbound

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis) cites this paper.

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis) OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T12:45:39.617269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31d31134-2521-42bc-890c-fcb31d6d2140 · inbound

AI Benchmarks and Datasets for LLM Evaluation cites this paper.

AI Benchmarks and Datasets for LLM Evaluation OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:49:34.323908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b6f82bb-a009-4e8f-8d8a-a8403644cf80 · inbound

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs cites this paper.

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T13:19:18.697794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acee3235-c3ad-40ef-afc3-5377c8c3b31d · inbound

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models cites this paper.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.417263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d403fda7-c487-46d7-9cd9-6aae7bbb53a1 · inbound

How to Synthesize Text Data without Model Collapse? cites this paper.

How to Synthesize Text Data without Model Collapse? OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T12:05:48.475341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5e49f1-266d-46c7-a4bd-921390df2b1d · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 286

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:56.549845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33203d67-2d4d-4b3a-8b4e-eb0bf93b01f8 · inbound

Complete Chess Games Enable LLM Become A Chess Master cites this paper.

Complete Chess Games Enable LLM Become A Chess Master OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:32.846470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dab877e1-0ec5-4823-98a1-2bb2fd09a82b · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-08T04:58:32.790583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73ad913-60ec-4daa-947a-c504d2031a5d · inbound

Preference learning made easy: Everything should be understood through win rate cites this paper.

Preference learning made easy: Everything should be understood through win rate OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T18:32:21.072721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc20d4d5-255e-42cc-80ea-f82e155d7c85 · inbound

Position: The Most Expensive Part of an LLM should be its Training Data cites this paper.

Position: The Most Expensive Part of an LLM should be its Training Data OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:34:53.498197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a08679-a95b-47b9-b40c-ab7252959343 · inbound

Trillion 7B Technical Report cites this paper.

Trillion 7B Technical Report OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:05.960061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b6e073-8d90-45c8-b1cf-78602767b07f · inbound

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions cites this paper.

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:30.298532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a1e972-8ef3-45b3-8b50-60762b7292ef · inbound

RAFP: Identifying LLM Lineages via Rare-Region Fingerprints cites this paper.

RAFP: Identifying LLM Lineages via Rare-Region Fingerprints OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:34:45.113232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8376a1-80dd-4779-b2f5-ca8edd8b02c6 · inbound

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text cites this paper.

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:44.322161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53dde41c-fc6c-4f35-97a7-5e515f38a3fa · inbound

Tiny Reward Models cites this paper.

Tiny Reward Models OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.139475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9772d448-c8aa-46ce-bf8b-4fdd38473acd · inbound

ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning cites this paper.

ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T16:53:22.788829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7fedafe-a187-4976-aab8-ff5690371142 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:21.920361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5046499-0a1d-42a0-bc27-0e965089f3da · inbound

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training cites this paper.

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:45:26.454829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8070d66f-9aa8-4511-8219-53d13528b5bb · inbound

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training cites this paper.

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T06:45:25.599770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fffe0709-f3d7-47a7-85e8-c6133b192713 · inbound

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition cites this paper.

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:10:09.460972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dcb9a64b-0f34-4d9f-b317-8b305ce70d64 · inbound

AlignCultura: Towards Culturally Aligned Large Language Models? cites this paper.

AlignCultura: Towards Culturally Aligned Large Language Models? OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:05.070910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83f3a6fe-e46e-4a0a-8134-847c88f6d692 · inbound

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods cites this paper.

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:11:53.282438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f0114a3-c74d-4e19-8bef-57b4b65dfc25 · inbound

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use cites this paper.

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:45:05.610969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 086cf8b6-2793-480b-9e25-3b0ea7ae585b · inbound

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use cites this paper.

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:03:46.417643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 62794091-5e46-4a12-9359-205455c8634e · inbound

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use cites this paper.

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:31:22.798058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dad4d3a6-dc11-4912-bd1b-0f586d876e89 · inbound

Asking Back: Interaction-Layer Antidistillation Watermarks cites this paper.

Asking Back: Interaction-Layer Antidistillation Watermarks OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T18:13:37.497453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 368a2e44-6823-400d-bf3d-9cc63ce41e45 · inbound

Trading Human Curation for Synthetic Augmentation in RLVR cites this paper.

Trading Human Curation for Synthetic Augmentation in RLVR OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.175022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 68b94ada-1661-4306-a3d2-1a38046ffc7d · inbound

Trading Human Curation for Synthetic Augmentation in RLVR cites this paper.

Trading Human Curation for Synthetic Augmentation in RLVR OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T15:15:09.675778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3aada79-a49b-4af6-b4b1-98a1a95fe510 · inbound

DuplexOmni: Real-Time Listening, Seeing, Thinking, and Speaking for Full-Duplex Interaction cites this paper.

DuplexOmni: Real-Time Listening, Seeing, Thinking, and Speaking for Full-Duplex Interaction OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:27:34.964427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c0f4e569-6311-4b2f-b461-37af48843838 · inbound

Prefill Awareness in Large Language Models cites this paper.

Prefill Awareness in Large Language Models OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:38:04.810564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1011ee3b-ab39-487a-a237-8b3b05e3544a · inbound

Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA cites this paper.

Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-26T11:29:23.985309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03e34571-e30d-4344-9870-6d6d47fe1e0b · inbound

PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration cites this paper.

PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:58.570227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 761e06f1-f4ea-49b8-be38-d6a9f4951102 · inbound

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks cites this paper.

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 283

Resolution: unresolved; no resolver link, observed 2026-08-01T16:08:01.214976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.