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Paper Citation Record · LEDGER

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels

As of 14 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2505.14925.

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

pith.paper-citation-record.v1
2505.14925 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:47.764269Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T04:15:52.478351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:17:02.692611Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0600c3fe-9fe9-4de4-8630-4e2830658bd6 · outbound

This paper cites an unresolved cited work.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:49.401587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:46.893096Z digest=sha256:376aea5aa1f7fa089adc07ba9f339ac919087dcc64025a26b46445b2c95b5169

Observation b495eb73-1cf2-45ba-93bc-01a72cadb97b · outbound

This paper cites Brown, desperate to escape a French hotel after mistakenly putting a mustard plaster on a stranger instead of her ailing husband Mr.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown, desperate to escape a French hotel after mistakenly putting a mustard plaster on a stranger instead of her ailing husband Mr

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:49.278348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:46.981107Z digest=sha256:613ed73576d31fc0ec1d60ffb220d63d7e94350e05d5c5db8adbb2337b353fe8

Observation f19e5cb0-671e-40c7-8f22-d5c8d686fada · outbound

This paper cites In Proceedings of the 41 St International Conference on Machine Learning, volume 235.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels In Proceedings of the 41 St International Conference on Machine Learning, volume 235

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:46.745283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:46.745283Z digest=sha256:17ea048a36c61bc63dceb4706830ce8c1b7111a202e3d8adcb32d6ee28a262c8

Observation 197874f4-1b6b-4ea4-8aad-67f499f8b8ff · outbound

This paper cites Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:46.779612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:46.779612Z digest=sha256:efb7a16d0076415335a8f333fbbe1415ef856155f6956b9c19509c7f7df48898

Observation c0ac7f68-a59f-4476-970c-e59f6aab6e92 · outbound

This paper cites an unresolved cited work.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:49.175869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.062499Z digest=sha256:0a64aa5ef375468c4f8a42c05f3c11482bb7f9f02da952fbae1d39de8550e4f1

Observation 6e879ba1-3377-400e-b116-e48e9a07852f · outbound

This paper cites Brown accidentally ap- plies a mustard plaster to a stranger, Mr.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown accidentally ap- plies a mustard plaster to a stranger, Mr

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:49.061451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.186723Z digest=sha256:f6aac137e7bf1b8c0b93bd037817f6521fa4286a0cd98dd5e789a50485921572

Observation 8285a76d-165a-4972-a5e9-45f6df450bb5 · outbound

This paper cites Brown mistakenly applies the mustard poultice to a stranger, Mr.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown mistakenly applies the mustard poultice to a stranger, Mr

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:48.911193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.240464Z digest=sha256:8c591c5f2b0fcd373ea2e663d8a1629983bfd00cfba0a4438251ee5b65647160

Observation a1384827-30e6-4227-a90a-f163bd0d51bd · outbound

This paper cites Brown invents excuses to hurry her husband’s departure despite guilt and fear of discovery.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown invents excuses to hurry her husband’s departure despite guilt and fear of discovery

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:48.817083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.290473Z digest=sha256:12ee020f20ad5291e02ba6a0df953f5a4319cd8a30b02df01876062cc2b110ad

Observation 3602dcd1-108f-4a8f-80fd-1ac1c0018fc2 · outbound

This paper cites Brown is confronted about the incident when the porter discovers her handkerchief in Mr.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown is confronted about the incident when the porter discovers her handkerchief in Mr

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:48.710672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.376585Z digest=sha256:7c02a8ca212791eaebc4cd3b5e5ab144bc7f759b3013a40cd24699f1ae06c6d0

Observation 5dc0cf90-ac0a-496e-9a3f-1e0657e856fa · outbound

This paper cites Brown and her husband awkwardly discover that the stranger from Paris, Mr.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown and her husband awkwardly discover that the stranger from Paris, Mr

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:48.594795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.445097Z digest=sha256:e029ec475279cff6aecb36057bd573af4f92f41c060666edbe775cebb8475180

Observation 4f035657-3250-4038-8130-2280bf01394e · outbound

This paper cites Brown be- comes lost in the hotel while seeking mustard, then mistakenly applies the plaster to a stranger’s throat instead of her husband’s.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown be- comes lost in the hotel while seeking mustard, then mistakenly applies the plaster to a stranger’s throat instead of her husband’s

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:48.487018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.518558Z digest=sha256:5c78bfaa92b35937180fe7538d2c119086d91c1931d798c2074a671dff8f4548

Observation f28e9132-2b2f-4efc-bdeb-5ada9e111e35 · outbound

This paper cites Brown desperately tries to avoid detection and persuade her husband that they must leave quickly for England.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown desperately tries to avoid detection and persuade her husband that they must leave quickly for England

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:48.392470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.593346Z digest=sha256:124b7a367cb3b23d072c0a37b787eac6722176a166f9b58953152d5101c70cc6

Observation 6fd3a807-ee46-473a-a0b6-fb6c4e5e5d84 · outbound

This paper cites Brown to confess, after which her husband explains the accident to the injured stranger, Mr.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Brown to confess, after which her husband explains the accident to the injured stranger, Mr

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:48.277773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.695814Z digest=sha256:e01cb148539f2d16bfe9558f33cab806b2383d205e94416ab9fe25ee841ebf9c

Observation 88e7f2d1-fb4a-48a4-8b5f-5f76916d0bab · outbound

This paper cites Jones is the fiancé of Mrs.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Jones is the fiancé of Mrs

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:48.152394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:30:47.764269Z digest=sha256:405e696dd99ad2be08db8fca94b54654793d0b7ed2a2da7a857e64a1a9c1abe9

Observation e5ba0a7c-78ce-45a7-9480-151d78a5ac5a · outbound

This paper cites Transformers Learn Shortcuts to Automata.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels Transformers Learn Shortcuts to Automata

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:46.668688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:46.668688Z digest=sha256:ae7cd983e8f9a23ffd981a9f786fd9449655e992bc3bf621282664c71aa24a4e

Observation 482bf4b2-b2d6-4d43-8372-57e8d5be8cf4 · outbound

This paper cites LongAlign: A Recipe for Long Context Alignment of Large Language Models.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels LongAlign: A Recipe for Long Context Alignment of Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:46.519563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:46.519563Z digest=sha256:7bbe47ed6c278b187ea946532953de665414d3b1a350bc17acb6845511ba2a4b

Observation 4ba19bf8-0070-49b5-8ef9-79b0ebe31e50 · outbound

This paper cites DeepSeek-V3 Technical Report.

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels DeepSeek-V3 Technical Report

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:46.599121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:46.599121Z digest=sha256:afe5e90b2d6106c3b0e63d0e5cb327fe0805642ba39a57fe0cb9e6a8690281d0

Pith citing papers

Observation b5097bf9-e233-4a19-b79d-4ebb7f2c91a1 · inbound

The Challenge and Reward of Fair Play in Narrative: A Computational Approach cites this paper.

The Challenge and Reward of Fair Play in Narrative: A Computational Approach Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:17:02.696886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T04:15:52.478351Z digest=sha256:9e67232b94930d7f233d0fdae62c81f33f2de61514b51c1086bec37c7fa989f7

Observation 62393289-f453-4f61-8b0a-6555e3825e96 · inbound

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG cites this paper.

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:11:28.141356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T07:19:44.125479Z digest=sha256:7d253081b5cebc514b84d9e16536f22119e766c1980b29d5d46c0863a65ea6c3