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Paper Citation Record · LEDGER

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2603.19250.

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

pith.paper-citation-record.v1
2603.19250 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:02:28.946930Z

measured 39 of 39 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

39 of 39 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23523fa8-e731-4f93-90f2-35e17563ed80 · outbound

This paper cites GPT-4 Technical Report.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-02T21:02:25.389553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 218771d0-77fa-4096-9183-033474863478 · outbound

This paper cites 2002.Introduction to topic detection and tracking.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams 2002.Introduction to topic detection and tracking

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:25.493162Z digest=sha256:85d8b63b4762e00042f52d3d989b4161eaa32506a541864a1a64579b4a7d82dc

Observation b22bde05-4d8e-4c80-8640-21f59e95f056 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:25.623830Z digest=sha256:9abbf2ecce7d1b32c3647d71e01822f82e2d81ab069768b7d191c4f9e63e12a6

Observation e53b18d1-5d8f-409c-8854-e8c0a41392de · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:25.753344Z digest=sha256:b85ec6223814cec896d271e93942708c6fa694c76fe7057387b80fcbff2affa7

Observation 5f2533fc-c7e5-48c6-bf83-ddb19ddeaa6d · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:25.880620Z digest=sha256:2d0fedb67793aba693d5d00a7ca7ac4571f81c0f06eab942dbb8f094afae3a01

Observation 395734aa-61d6-4693-a1a0-e9f534e5f88a · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:25.965680Z digest=sha256:63d1908df65e3ef59df1ff66f262c0c60bf3e1a580308c080c5799b171fdf481

Observation a0770940-65a7-4de8-b208-0c892a5353a2 · outbound

This paper cites The Llama 3 Herd of Models.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams The Llama 3 Herd of Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:26.118988Z digest=sha256:6bf47805d2964eda52e2209687841e64c794ea74cda9aa44a0fff487eec78d29

Observation e9693517-c2e4-4987-a8f8-c96f36466d50 · outbound

This paper cites Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:26.228465Z digest=sha256:d6ee1b521d0d479a62494d02a20723dc3060f3758ff8522d5a17077a05e98e34

Observation d340f698-b168-4100-856d-c3c35655f05a · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-02T21:02:26.426758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:26.426758Z digest=sha256:dec6f4e1c3e0ad667bba02b96e2cfd9d11f750f4bbe15c13cc0e29dd7b7ff26f

Observation 31c12806-7494-41c8-bb06-a6f1ca143c8b · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-02T21:02:26.566602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:26.566602Z digest=sha256:8b6923da610b5c21f26675025b844355dc18e7486bbec8173d3c7f3d6b6e16f2

Observation 636ac902-ef18-466e-ad25-5ac68edf088f · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:26.779697Z digest=sha256:52283cafc121f144c711e8db4e27de6028258fa71d966df8704d11b8e98c8e5b

Observation 72b6e426-7379-4d58-a525-cd2391cc8211 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:26.872803Z digest=sha256:cd6625008831b41f7935754c90e1cf4958106924470c9ec190ea2665bcb0f052

Observation 8aec171e-9e00-49f8-b565-231a5c41c426 · outbound

This paper cites Mistral 7B.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Mistral 7B

Reference 13

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no resolver link, observed 2026-08-02T21:02:26.942324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:26.942324Z digest=sha256:a2b45162b7f9dfed7c87bb4f3107ca7bbf85db0f7a22ff151a47f5cd82a5cbe8

Observation d579addb-3a74-46f7-b5dc-66876e026c34 · outbound

This paper cites Smith, Yejin Choi, and Kentaro Inui.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Smith, Yejin Choi, and Kentaro Inui

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:27.003487Z digest=sha256:c377a16b995148fba3240aa6952a1985c9c60e67e158a3e01fb8c9be30b345dc

Observation 6abbc014-8eb4-45d8-934e-bedb3e815707 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:27.070789Z digest=sha256:98eee4307e74ab8e68624ac59ff75f3562f18bc79bb495d4f8ff654f7275f795

Observation ddb19ef3-cdbb-4e1b-b316-3c71d0350789 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

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Observation a251b046-44d1-4781-89e2-b47298e37bd9 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:27.212781Z digest=sha256:b92002155bf5725acb383b58fff5119a4826e147a5b0a52de0126196119ea7c3

Observation ac834bed-3a46-43ed-9586-2d6480a656c1 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:27.313540Z digest=sha256:c865efaedb4875163513620b1ea4cb2ca96260415be9bd66ed31d623bd8a1cfc

Observation c8d04275-d561-4df3-94f5-450b2a06b62a · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-02T21:02:27.366801Z digest=sha256:e40c936965d88dcc216c466b8e7dcb3c405e218aa7a3f09a61ab7465dd19610c

Observation 12730dcd-fb3e-406d-bd1c-0ef949ad74eb · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:27.433861Z digest=sha256:bcfdc6ede612f6a9e2e126bb5958343188cc7ea5a4171fe6d6763093e8fdbc97

Observation 50ea3f9c-71ce-45ff-b0a8-75ef14184a39 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 21

Resolution
verified exact
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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.

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Observation 5668e85e-fd69-43cf-932f-2846e3b17276 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 22

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verified exact
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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.

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Observation d59e486f-1750-4fdd-9967-a16e80ba9555 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

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Observation dd0a8873-1633-466d-be57-b6081ce062ce · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 081a05c5-dc8c-4554-8dc5-b935a929a7b4 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 25

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source=pdf_text observed=2026-08-02T21:02:27.840831Z digest=sha256:d8c11c13a1acb35b364977718f27abc11f6834f3a34ae5f43bbbd7a88af0e8e7

Observation e4a30c74-570c-489a-834a-20c2c4108cbe · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 26

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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.

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Observation f8c21c3a-8881-4c31-b9f3-b62d93e7f023 · outbound

This paper cites Gemma 3 Technical Report.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Gemma 3 Technical Report

Reference 27

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Observation e53bc2b4-1f63-49bc-9cbc-97ff19b5c1c4 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Gemma 2: Improving Open Language Models at a Practical Size

Reference 28

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Observation 95cb4385-4521-47d7-be33-8f69c92853c1 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 5af52615-0920-42f8-a121-a7dc5195f0e2 · outbound

This paper cites Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data

Reference 30

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Observation 2ec33a5d-14b7-4cf7-9c8b-117a5c97b51f · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 31

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verified exact
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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.

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Observation e8723340-00bc-4916-b5e1-12e7f31ddfd6 · outbound

This paper cites Qwen2.5 Technical Report.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Qwen2.5 Technical Report

Reference 32

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Unavailable: canonical work link unavailable.

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Observation 15be00ec-1c37-4247-a96f-14575504d488 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 33

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Observation abf607ee-59ea-44eb-81a6-a73f720629c9 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 34

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Unavailable: canonical work link unavailable.

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Observation 8986ff72-6d78-425a-82bb-110ae63f9525 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 35

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Unavailable: canonical work link unavailable.

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Observation 990eb2f1-bbac-4c89-8fe9-e670e085a780 · outbound

This paper cites an unresolved cited work.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 38607f7d-6b9a-46fc-b852-b84b622939a7 · outbound

This paper cites What was the result of [event]?.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams What was the result of [event]?

Reference 37

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Unavailable: canonical work link unavailable.

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Observation 1b4ba57f-a355-412c-9400-b27d5d3fabb3 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams BERTScore: Evaluating Text Generation with BERT

Reference 2019

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:02:28.855593Z digest=sha256:0be51df1cea2d58c2c61c72c71b69432d314f8a56a744f7c6685a2971d68906a

Observation e7491b5b-dab8-4b94-97db-b63278b79be6 · outbound

This paper cites IEEE Trans.

Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams IEEE Trans

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.