Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:1ba045c1d533232b44c94fa1ed1f0be32f05071fc35f9139fc0167adfb925b36

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

Resolution
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:c1149287b89e48ca2a14d08c3854f59ee03b9ce193b4291b904b3c4961125683

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

Resolution
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=sha256:91e2ecb901254e49e135f3fec577958db0c699e8097f3ce7a59a40b8474f4107

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:50.311217Z digest=sha256:5b4c20ed9065c7b4ddccd7c3181368297accc83dcf2ca591421dea67ea061f93

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

Resolution
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=sha256:40ccd8f1c0546445beaddddebe7fe5a977b3390da3f10143989ea0d0919ece9b

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

Resolution
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=sha256:370b285ab1fbf2461b5692bf418ce1d6f54eac7c4de8b729e867269efd9b70e0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:50.609143Z digest=sha256:2fa4986e149a6c5f45ae448e9d0b52a4062de077fceef941eec2a5b8103648c6

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

Resolution
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=sha256:9567393099bce1919571a2ed5263f5ad0afae7bff8bbf06ccc7bb10cb7388705

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:a42de560569d80a6b37d6d36c53a793e8b5ef843023c372e0b3ae0054b9e3689

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:c574782af3ac43e658f1c9e0db14218db54867452b06602f0641125cefb36542

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:51.022125Z digest=sha256:bc0d403a501b9cfddd921ed3bc031d5b2fd9a9eb35ebc5b1eaa049dfd4a854b1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:51.158594Z digest=sha256:7a61ecf8712db07a63077066783577556800717f1b0411c8f0483d5f2790d47c

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=sha256:580e93028c633ba988d0683ecba1c5402e911e7da3b4ac37947c2d49cc2975a0

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

Resolution
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=sha256:6a0988c76c6411c0563132c1b8d0d8393219aac1ae0b48b57790006608db7860

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

Resolution
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:a414b490688958074f62f01ed84b1871936b2b82362769cf6531f9ce33629ae4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:51.618603Z digest=sha256:5b11f345f9e6418479e56067d437923dd4a7b72928b75af962c0c8e457e15307

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

Resolution
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=sha256:6b368fba4ee6c9980a816e0f264dc22f5fb7e71b26dce3c159f839dad4cb1e7e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:51.850344Z digest=sha256:e56ebc9d6c17b90100515027c2d1a3912c91e689f48f7c2bedb6219361e48882

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

Resolution
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=sha256:9b06bcfe6676bd39b23ced0b692dbe04cca57c4f446cb1fffa90858e837cba2e

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

Resolution
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=sha256:143511b3df139ce523d457927997275ec27a4e09b83e5efa44afa18871a3351d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:52.053656Z digest=sha256:e67df9d2168facb6b40cbeda59a4ed48e7b8f5717982cf05c82ab01c58469302

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

Resolution
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:e2fae81c00ebb77cc522a6f511f07ca5ff694d52b5af7b2fa45fffe0cd052d83

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

Resolution
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=sha256:7366274f52c72f83466cad5779e6ec0ba3ff834140eb98c76054191fa9476069

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:52.374652Z digest=sha256:015208e62272ad02c9c860d6a726a8b2563215570debd317937b7a676047adb4

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=sha256:7b29aa36c4dd168b53e44e132c15012af53826a23424c5ecb3c3a260ecf8db9a

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

Resolution
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=sha256:830dcfa22b5b71327462087b1a0c4186688533f2ae2190f88506793053807542

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:41:52.642675Z digest=sha256:d64e0dbd7d6d08b9ea99663ee34382ddc3ff3c672820fdcb6728b4d014f4caaf

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:cc2bce74b7a30aff476df2db74171794939cb03d70389d31485317a4be4d681c

Pith citing papers

No inbound Pith citation observations are available.