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Paper Citation Record · LEDGER

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2506.21343.

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

pith.paper-citation-record.v1
2506.21343 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:32:48.885926Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T16:40:08.788179Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T16:43:34.803102Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 872ffbe7-6c58-4764-8d0e-48ed1ab3cd7c · outbound

This paper cites an unresolved cited work.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:32:49.356312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:32:48.280447Z digest=sha256:27a0cc87ec5ef206b1d76d619dd56794d3e09a27e69e9d963bf9c7f8b80e20ef

Observation 794b1d5a-caa9-477b-b759-46ad5cffff86 · outbound

This paper cites LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.314730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.314730Z digest=sha256:aec89766be22cfb8776ac1f7c70c3bc580985e6d91a020d594aeb60fa56fdfea

Observation 4f309597-2c2d-44a7-89e4-9551e0c34da4 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.368817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.368817Z digest=sha256:82765311a72be126a74935dcc7a97d12c28529490bc6d48e903457a0708b86c0

Observation 479b84e6-f376-4e1c-8aae-024e173ddfbf · outbound

This paper cites DeepSeek-V3 Technical Report.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models DeepSeek-V3 Technical Report

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.447154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.447154Z digest=sha256:e89c25730f1ac38f9366fdcb08e58e039ec46f15ea31de441438f3974cb6aa38

Observation 041d242f-4f74-431f-8f1a-0d51e582be6e · outbound

This paper cites GPT-4 Technical Report.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models GPT-4 Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.515090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.515090Z digest=sha256:9aac45323e4f76a5158c3257e3cd36a772c2b327391d0bcd178b418cd47be2a7

Observation 372ff00d-5561-4c74-bfbd-96f65bdceb4d · outbound

This paper cites EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.567716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.567716Z digest=sha256:8399888979e8a991149a251a36fad45aff63473591c8bd8591cbb347633e000c

Observation 4671d5bb-a7db-4875-9bea-a0bdf0f49a92 · outbound

This paper cites Suri: Multi-constraint Instruction Following for Long-form Text Generation.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models Suri: Multi-constraint Instruction Following for Long-form Text Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.627705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.627705Z digest=sha256:989716b94415cb17d6f8d5462be4df78384c85090fc85e381d2f6edf732b83cf

Observation 038acb4d-2997-4540-b7b9-eef1a3866edd · outbound

This paper cites HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.675988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.675988Z digest=sha256:3eb17ad38b57a26685cd2bc979634fc5e9c5af2b5858cf5aa0ecb3479414bf9b

Observation c48f7adf-f536-49e8-a7de-c4f2e87ad543 · outbound

This paper cites Qwen2.5 Technical Report.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models Qwen2.5 Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.724763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.724763Z digest=sha256:fdf3d6ee405f018a3c41f97af2be3f229cb37d401911ef58568ad4199d36248f

Observation d81abbc3-7fa6-45c3-8ced-3d1660758ca1 · outbound

This paper cites an unresolved cited work.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.769102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.769102Z digest=sha256:2ef535dcff2cbce7404cdfb9e80bb4cafdc43da1b3bb1c0ff875a5315dbfe78d

Observation 99d7dd66-c723-420c-8467-70e4048c95aa · outbound

This paper cites online" 'onlinestring :=.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models online" 'onlinestring :=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.817400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.817400Z digest=sha256:1dccf51d7bd7d90e47fe0910577dc5ef56a83066452d8d1732b60793fd6a0aae

Observation 9c07a372-a83b-45fa-997d-7270df97ab30 · outbound

This paper cites write newline.

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models write newline

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:32:48.885926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:32:48.885926Z digest=sha256:c8eeb409f7b1c8fe0049f6b37b56e70b4d2fdba02da2d9c4a7712fc52f1bea9b

Pith citing papers

Observation 0bf92090-8554-416d-9b3a-9398d3857287 · inbound

From Text to DSL: Evaluating Grammar-Based Model Generation Using Open LLMs cites this paper.

From Text to DSL: Evaluating Grammar-Based Model Generation Using Open LLMs DynamicBench: Evaluating Real-Time Report Generation in Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-20T16:43:34.804862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T16:40:08.788179Z digest=sha256:3439c0b840c0db08d9c69f2ab76caa63e329b745f80e136eab4ad012b696af90