Pith. sign in

Paper Citation Record · LEDGER

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams

As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2504.17366.

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

pith.paper-citation-record.v1
2504.17366 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:45:20.540625Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d447e5eb-2135-4643-8476-a6759de31daa · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.488750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.488750Z digest=sha256:7ef95067e62688edb0152f45d6f843645e45a346dcae7986543f6f7b61857c5b

Observation 9b1d3248-b234-4373-9449-4043757d043a · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.504684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.504684Z digest=sha256:5a8482ecc41905582f0f3bf071b082314d2c7f346eb39ed8b17192e8aae6f2b4

Observation a7a1de47-a8bd-4c2c-979e-4141b0bc8a4d · outbound

This paper cites LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.508431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.508431Z digest=sha256:826cc4f4267ed42fa96f8837c9bd57f9a3412b9f0a64e85eaf693ce5d9e9b40d

Observation 9d15e927-4f80-4f17-945b-70762b0ae017 · outbound

This paper cites M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.511770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.511770Z digest=sha256:b16dc632e06444500b9970a2f740ecdc0ce5b50fa7a9d9d74e2a69be87dfa823

Observation 114b1b06-8e79-4c03-a4f8-9dcbd7f3d6b7 · outbound

This paper cites Landmark Attention: Random-Access Infinite Context Length for Transformers.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.518651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.518651Z digest=sha256:61d6043a01759ba83d0d3c7d76d51f2723d24779c732d0c8ab63f5a1ab90ce6d

Observation 44133971-76f4-4d07-a9a6-ff021673e0a7 · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.521679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.521679Z digest=sha256:b2a93413d6667c39eb2abe99fb72c72ecdd6066d093cbd3f3efa2bd27964bf99

Observation bf4decca-0675-47be-b5b9-f53974f1d81a · outbound

This paper cites eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.524991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.524991Z digest=sha256:5987e9cc57662ccf1a2bd3d58d98f7e18dbee0d79b14933b4791c871d35d235c

Observation a40aa0e1-918e-4d8c-8388-ecbbbc0cc265 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.528455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.528455Z digest=sha256:068e1472f8b9c58510774468fcb5b4b6edcda0d5f284698c4f33117c5892e77a

Observation 578eb76f-a585-42be-bdd6-6b671e565208 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams LLaMA: Open and Efficient Foundation Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.533907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.533907Z digest=sha256:417c7f5eecbc39253945a24e11a14a4db3e727cf88fecf7eae15751fa0de2853

Observation 66c477d8-3cf5-4490-bc25-c035d455ca44 · outbound

This paper cites Personalizing Dialogue Agents: I have a dog, do you have pets too?.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams Personalizing Dialogue Agents: I have a dog, do you have pets too?

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.537368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.537368Z digest=sha256:9cec76ac8b29d49d168a49e29566df25f1d00bb79e2cc769503915fe36f0566a

Observation dc3d7276-04c9-48ad-9e75-d398b15de4bc · outbound

This paper cites The pass key is <PASS KEY>. Remember it. <PASS KEY> is the pass key.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams The pass key is <PASS KEY>. Remember it. <PASS KEY> is the pass key

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:45:20.652563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:45:20.540625Z digest=sha256:bd1354f3effe0e4f2f94316be8c1135243bb3f71472ee61f50b62c241938ec78

Observation ac942486-8841-411f-b51a-348109580c28 · outbound

This paper cites an unresolved cited work.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams Unresolved cited work

Reference 2013

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:20.668277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:45:20.498130Z digest=sha256:6863f74be446e7b39c9026ac038c166eff40471d115b7fd1a9de02103414a893

Observation 75733032-f8cc-4a5b-964e-4b0f6403b9dc · outbound

This paper cites DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.515669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.515669Z digest=sha256:12227847e3653b9ae97683956d6a220ec59b5ab956b7b622fa67ca0a4553454d

Observation d2812061-5172-4888-a021-b09299d07764 · outbound

This paper cites Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.494988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.494988Z digest=sha256:25840dc5531aea65cfd5bdb125d479a3bbe181f0e9860b6542a3adf66b55b32a

Observation 31b92c95-b509-4c7a-81c7-3f886f0184fd · outbound

This paper cites Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.500609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.500609Z digest=sha256:467a83a954267440809fce3ed16b6aba8e363326610fa4d9633e2a1f1522f6cd

Observation 177f8355-f78c-40e8-8373-e39e16497dee · outbound

This paper cites In Findings of the Asso- ciation for Computational Linguistics: EMNLP 2021, pages 4543–4548.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams In Findings of the Asso- ciation for Computational Linguistics: EMNLP 2021, pages 4543–4548

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:45:20.659964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:45:20.530899Z digest=sha256:d1c0055af79f7b39c90fec62f8ffc75e4d8ca4bf94f52d6a0b248d4572511382

Observation 10432c4d-574f-4487-8faf-b24823c02ce7 · outbound

This paper cites L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.484172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.484172Z digest=sha256:ee11f4b870af61117b78534642cae9454e829f6aeb03cd2e7a0442192588b525

Observation c1f0ee7b-11a1-4cf6-b48d-429ba4e399b8 · outbound

This paper cites FinTextQA: A Dataset for Long-form Financial Question Answering.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams FinTextQA: A Dataset for Long-form Financial Question Answering

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:20.491802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.491802Z digest=sha256:0ae06a04b1c61c6c455a5f77fb3827f747482fe7509f197b03018b9949f00b76

Pith citing papers

No inbound Pith citation observations are available.