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Paper Citation Record · LEDGER

BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.13345.

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

pith.paper-citation-record.v1
2309.13345 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:42:30.876851Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T03:17:12.619576Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2420d7a1-8d26-425c-9668-71919fd8b0e9 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.523762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:299b9671a1144535e6c058799563dca06dba399000bb88f3b49333030897b2f4

Observation 9992c9b5-ee95-4f34-997e-1a16d5143b5f · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:55:20.575906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:c4b075428e74be26dc8f5e52a889aaec18da779d3a83c2d1319986a74cd8a651

Observation 82756121-9c4a-4eac-9d91-1c7627d7d501 · inbound

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions cites this paper.

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:30.876851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:30.876851Z digest=sha256:d20a486faf85f1d0161240785e2b6ec8cf6d405fd1747739623571fa1746b8bc

Observation fd854b2b-68b6-4428-9107-51896b533abe · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:17:12.622690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T03:13:37.202362Z digest=sha256:93dfd07dd35e5e232df8fb215f2488b27e4861d30c958b9fc83af026f473f23a

Observation d50541dc-ea60-4957-b62a-e00ff2b32042 · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T02:40:54.342769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T02:40:54.342769Z digest=sha256:8b9edc12fc0cbc44c97de0f99e211c80873ea703f7aa7d00424e7689411b51c4