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Paper Citation Record · LEDGER

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.15236.

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

pith.paper-citation-record.v1
2507.15236 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:41:52.736029Z

measured 28 of 28 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

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b39f1f3c-68d8-47f2-8248-6f1c97973df3 · outbound

This paper cites URL: " 'urlintro :=.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:41:50.077134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:50.077134Z digest=sha256:c462e0d726a0a39e801ebee7ecda79bc0c102d318f9e8adc65eb4588be8cc267

Observation 3ab40e49-b52b-4626-a6ba-ffee9ec9b642 · outbound

This paper cites write newline.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-06T15:41:50.124030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:50.124030Z digest=sha256:6ef7a1770fcd3e9097882ddcb427859262a186c3419c25ff83188970638652d1

Observation 4e591648-8683-45d5-b271-c26c27d8bb11 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-08-06T15:41:50.243497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:50.243497Z digest=sha256:d20467ba46ccffed5b3d106d2909d9715f6f0500cfe4636bf3ff054247a9461d

Observation 95f40a8b-1dec-4651-b7f8-c84f0aa8e1f9 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-06T15:41:53.112882Z

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=arxiv_source observed=2026-08-06T15:41:50.311217Z digest=sha256:978e9f185b1d0566f0890ae557e54ff92d05ca2eeb3405c468ccfe49832155b4

Observation 3e7d529f-cd82-4cee-9f0a-2ec05a04f9fa · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 5

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unresolved
no resolver link, observed 2026-08-06T15:41:50.377860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:50.377860Z digest=sha256:6db455451cb2167b6a5fb51f5c066c3e84b5c54bdca6c092d0b55c5e5c5eb6e2

Observation d46d95fe-696d-4845-a95f-2e030c1c79f3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

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unresolved
no resolver link, observed 2026-08-06T15:41:50.494853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:50.494853Z digest=sha256:86e97b7d43427fcd27d8e6b89104134139b2c67150b3525c37a21a3024ebac12

Observation 94a70025-b2df-4036-abf1-31c4f7f3e79b · outbound

This paper cites Dolan and Chris Brockett.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Dolan and Chris Brockett

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:41:54.515292Z

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=arxiv_source observed=2026-08-06T15:41:50.609143Z digest=sha256:fa6c7288209371285fae495f52bb2cd04ab3f0fd54f395b815a6f0715fec6d34

Observation f018df3f-a413-41b9-b0fa-6c2565dd840a · outbound

This paper cites The Llama 3 Herd of Models.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest The Llama 3 Herd of Models

Reference 8

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unresolved
no resolver link, observed 2026-08-06T15:41:50.660578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:50.660578Z digest=sha256:cb8692228c116eb77e63ecd8f13a9c462e1324f2049422620a62f8b05cfcd154

Observation 107867e1-a9be-486d-bc32-754317c0cadc · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T15:41:50.786800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:50.786800Z digest=sha256:dad864b8f7b9498951f89dfb77d6001df005e8cb01456aa12553c13ec9426a28

Observation e3eb02a7-bbef-48d9-a166-989a9b045b97 · outbound

This paper cites Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:41:50.914490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:50.914490Z digest=sha256:ef112095437e35b0174d1e3585e38f6cac76abb4c9ed4a4261bf6f37bbf2e7d4

Observation 34a71a0e-2d67-4b61-9f78-444164fadd2b · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:41:54.400128Z

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=arxiv_source observed=2026-08-06T15:41:51.022125Z digest=sha256:352c56c9bad270288b352c598d6164c1b0382860abeaf220a4eed7b8e19738df

Observation 3e95b9d6-f3d0-4062-94b9-64e0ee2cb4dd · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:41:54.288987Z

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=arxiv_source observed=2026-08-06T15:41:51.158594Z digest=sha256:35d4f7383d1f8c14db28e1abd8779fa2593fb63249143a6aa4bcaa8de0e90402

Observation 73806ea2-8eaf-4ce2-9eb7-f64304307d64 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T15:41:51.327841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:51.327841Z digest=sha256:852b3958f7027349a496b201da2979d29af25718c4bf257e1a421038c5b87a84

Observation 341620c7-816a-4118-b006-a267e89610d0 · outbound

This paper cites GPT-4o System Card.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest GPT-4o System Card

Reference 14

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unresolved
no resolver link, observed 2026-08-06T15:41:51.399741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:51.399741Z digest=sha256:1e1583f6df0209875667cbc8ac8813189f3e42194a2ce7c8f9fea6d751d7df87

Observation 7efc890f-55d1-4aca-ac65-35f123623411 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-08-06T15:41:51.499771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:51.499771Z digest=sha256:bcd43aafe950368c41e140bc3f6ae38c4e5e2609dd05d3ec4d90fe49b23b967d

Observation c4352bbf-4683-4a7a-a636-e9719cc437d2 · outbound

This paper cites Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:41:54.146228Z

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=arxiv_source observed=2026-08-06T15:41:51.618603Z digest=sha256:b40b69851c3b86c7951cc72d4e00e846a3c6e3cdb13449e4271588fe110c0133

Observation e1d198ee-2523-4c84-a078-45d504d02667 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 17

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unresolved
no resolver link, observed 2026-08-06T15:41:51.730889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:51.730889Z digest=sha256:56ab3dced77f595a84ac46c877e9c7cf0212e1584d7a77f923c50a380d11b775

Observation 181b4ec0-887f-4538-bb6e-5d218e259670 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:41:54.017796Z

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=arxiv_source observed=2026-08-06T15:41:51.850344Z digest=sha256:2d0f217e0563c781bffddadedf335fa048a2c96cea8dfc626ebf651c5818957c

Observation 4fa0f779-bb82-4de7-87ab-2407627ed430 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 19

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unresolved
no resolver link, observed 2026-08-06T15:41:51.946263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:51.946263Z digest=sha256:d913cb1dd2733ef5ece92a54875e4f4ce3a16f8be63066767970b46413045d8f

Observation a07dd7db-0c36-4829-93f7-563ceb0fbd93 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-06T15:41:52.021861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:52.021861Z digest=sha256:1fb5ac6652c762970b96f70d233a7f386d845cdecd2a4c3cf0c02a25d89a8100

Observation 4d596164-46c5-4cba-bc2c-066cd1564a88 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:41:53.870897Z

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=arxiv_source observed=2026-08-06T15:41:52.053656Z digest=sha256:7f2bed13165e9c376714bce9f7c288adcc25042a5ebd964ab4d35b6033c62065

Observation 71e1c315-9891-41c5-988d-ba514d6565f6 · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Manning, Andrew Ng, and Christopher Potts

Reference 22

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unresolved
no resolver link, observed 2026-08-06T15:41:52.124569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:52.124569Z digest=sha256:dd3de4d7719a2ec350ad3a2ce44a7c0d6a3a81a86a0b74bd7a65fc0aa5166fca

Observation 6440e6ad-ee32-4453-8dfb-6a44b664fa8d · outbound

This paper cites Smith, and Yejin Choi.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Smith, and Yejin Choi

Reference 23

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unresolved
no resolver link, observed 2026-08-06T15:41:52.251426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:52.251426Z digest=sha256:675bfe90a8b752b7ad1c72e0a7d98a3807b3df59a3c91fa11ec089f91ee1ce6d

Observation 667a03bd-70e3-499c-a815-c73c42f62958 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:41:53.635770Z

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=arxiv_source observed=2026-08-06T15:41:52.374652Z digest=sha256:558c608f05b70a6c7923dd8d3f8d7ad3aa05b10dafa2244a6e91207a096d31b7

Observation 7b09d269-c486-480f-891b-216cd4c2cccd · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T15:41:52.456621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:52.456621Z digest=sha256:f2f4b9277af7d9ebdf7b5a671b54dfc1d24002d17811ba0ace39879a0013084f

Observation dc802ef9-9b0f-427a-8d0a-4e57fcb69725 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 26

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unresolved
no resolver link, observed 2026-08-06T15:41:52.542205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:52.542205Z digest=sha256:d7a0a1b8d27600d97bab7316d31db4bd039a92d26ef564b38a8ae4b41119a876

Observation 24506daa-eed1-4ee0-8cf3-c209817dd5d3 · outbound

This paper cites an unresolved cited work.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Unresolved cited work

Reference 27

Resolution
verified exact
doi, observed 2026-08-06T15:41:52.921262Z

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=arxiv_source observed=2026-08-06T15:41:52.642675Z digest=sha256:4e22084a290415a164dd13cf2009b4a2adbcdebb860db356ca5afa377c480d0d

Observation 3ab06572-ef19-478a-9411-cecb32d03d09 · outbound

This paper cites Open, Closed, or Small Language Models for Text Classification?.

SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest Open, Closed, or Small Language Models for Text Classification?

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T15:41:52.736029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:52.736029Z digest=sha256:c7cf7368d156780fe0ab8a46c47b364ca54e943305910ea735500124a9e103eb

Pith citing papers

No inbound Pith citation observations are available.