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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:46.893096Z digest=sha256:cdd541c1f59eb682f19b989f6a5be7d74fa217ff12ffeff1c89c46befe48fd54

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:46.981107Z digest=sha256:7ec96a69e8c19b14a0c8174d5cfc1766fae8c900ed2a735d6e6a8aefc0cfe9d6

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:d8eaf6b5a65608705f61f1745ecc9778c4e93b40180e796a260ecf14d3667861

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=sha256:53a6a53e14fa5fd3984b2fb70b183ac74bbc2070dd9774b987036c9f24e46128

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.062499Z digest=sha256:bf7b6e9e5f6e9e74a173472f6e1ba069f9b3306a45e71285c2f10e60678c0261

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.186723Z digest=sha256:7bb9512e3c64e30c58a0777ac37ac5bba09cd27d6e674c2b642043b7936f2a05

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.240464Z digest=sha256:05fd79bfbc0f4ba64fd01c652c2a117823946754292d625efbf86719d137f77b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.290473Z digest=sha256:377b944cbb73b64b2b2366bd40bd356395aaad1c669d6e1eb8e54d4449b21da4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.376585Z digest=sha256:13297f46e1c999c230d2220798f4ab25258294ae499f522ca9cca8141bdb7f1b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.445097Z digest=sha256:20bb5def7cd47293adf5771f8f61fde4c157c341cc6b6251b83a3211ec896d16

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.518558Z digest=sha256:60ca404a772b1595e44a471ac5f09d4b2803cf3a6b5be122a47464b2ce7e2320

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.593346Z digest=sha256:7a579080eaca39a2adf312ba049ca7b98cc675a85f3370f9539ae4a9f08d2b01

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.695814Z digest=sha256:371ca235ee043245f485a10cec598bf2a9c07ce233ce326c5cd4dad274da8e2b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:30:47.764269Z digest=sha256:d3f5ba093b5f10399d361e31109bbc89ac8cf796d061690b8ec7d9c00d933161

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=sha256:64895cf75f798cdaacf95722013b682379701781f5a9ebdebc520263e1a39e37

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=sha256:335894efe16bfe2141bd6f8ec2bb1d825b646543193fe2f3bce2f8329ae1b842

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=sha256:1cb541d2bb6cfbdc027e052501a7756b247bfe4d12b21c3fb7c97eb67a3c560f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T04:15:52.478351Z digest=sha256:6ad0f6153ceaa878447f3c5c628d95509ae2c4708f33298697292d6cdbbf0be9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T07:19:44.125479Z digest=sha256:96adf2b980c69f519852cbddba991c5a778782eb7a4df5b019ad33a9136a6992