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Paper Citation Record · LEDGER

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2302.09419.

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

pith.paper-citation-record.v1
2302.09419 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:33:53.149199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:27:34.596677Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 77ac6a9d-232e-4f91-862d-f1f5accf3ab4 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:40.341187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:ec7c1f4f5be2d21f5f1e86b871154e0aa3f7cae095eeb4a10fbf0d09a04576e2

Observation 199497c7-8102-44c9-9970-27f84f0f1bf7 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.469330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:153a686740264f7572de1242f90897de0d0fd7b9ae79d156c994cda1748c7575

Observation fc98d387-1511-4838-8710-83131fdf9e0e · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:22:54.547426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:a3c0672e1425f5a8e6ec06db2e1431daca7c9028738f4ff92430975fc5904636

Observation 5bb05b71-3990-4280-bdf2-8e2bc725ecc9 · inbound

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 158

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:52:37.375285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T05:47:48.488826Z digest=sha256:da6a91c59677ab468f83a8085d072a013f72834c06736683c589f2bb5e9d8592

Observation 942d2ddc-339a-4149-b90c-ba4bda02669e · inbound

Benchmarking Foundation Models for Zero-Shot Biometric Tasks cites this paper.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:33:53.149199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:33:53.149199Z digest=sha256:5e936f8562af494f78f530658c1cef3b2f38a6d174f9f35d7b645502570b6746

Observation 63af6f46-6ab1-4d00-8c30-9cb4d3a1d2cf · inbound

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads cites this paper.

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T11:09:33.099450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:09:33.099450Z digest=sha256:0fee030aa25481607bee486aca64d4094001db23ebb6af5f028d27650ee33c8f

Observation d88c3471-04c2-46a4-a9d7-62b3a551f277 · inbound

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation cites this paper.

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:43.195312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:43.195312Z digest=sha256:5d3e9a7f112e9ff58ff656596444df955d0fede09ebc9c6a9e8a62b6161b80f3

Observation 00c52a1f-1ec0-4516-9560-deed2c2f375d · inbound

The role of large language models in UI/UX design: A systematic literature review cites this paper.

The role of large language models in UI/UX design: A systematic literature review A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:28.569079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:28.569079Z digest=sha256:187a8f85b23c7dc08243e046a54e19b1b1c9c4bcaaa10bb41556af2a976588ee

Observation 4a0d5b28-4939-4f1a-9dd8-7a11101983f5 · inbound

A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications cites this paper.

A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:20.054888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:20.054888Z digest=sha256:1bc501757b6dc918014f59fd850467a9241b69131fd3385d6308033d2b39d4a8

Observation 89a6ed61-2281-4234-ae52-17ad366db537 · inbound

DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning cites this paper.

DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:54.974751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:54.974751Z digest=sha256:954ac35d88dec7c40ced70b1331846c33b584f595e2dcf55c6b68e3e634fad3d

Observation d03f5ebf-4719-4597-930c-1acbd904d49d · inbound

LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition cites this paper.

LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T12:42:48.696779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:42:48.696779Z digest=sha256:d2837c0d71a1677bb6cebd473e1dd91af9394d6defe395af2bc680b227071e61

Observation 5b353b14-83ac-46a2-9ef5-5599326a44c3 · inbound

Can LLMs Generate and Solve Linguistic Olympiad Puzzles? cites this paper.

Can LLMs Generate and Solve Linguistic Olympiad Puzzles? A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T22:44:24.440670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T22:41:03.883239Z digest=sha256:9848e11d7bb8301b0c1f10f6c54e6fc3d8c1223f49231383aa8d6ee8539ce7b5

Observation cba55537-0a46-4f57-b420-4ab63dc74f0e · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:09.601797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:12:09.601797Z digest=sha256:7b208dad50559964092898e65d68e4cd171c6353def084756bc5c50a3d5834da

Observation 50b9aa07-768c-42f6-9cf0-0597e68a80a2 · inbound

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference cites this paper.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T06:01:16.872441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:01:16.872441Z digest=sha256:6ec037f0007d8f6924cdd871071edf6bfd36dd8ffa2031e491bb54bc6f112962

Observation b114dcc7-9814-4dbd-b833-be894e4c5bc8 · inbound

ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification cites this paper.

ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:26:00.063468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:11:45.363802Z digest=sha256:3a3f140623050d457d0cb1daae1ce1ec47256ef4c7cccb270bd6340f7f5bbbc5

Observation bb16eab5-dea1-438b-8d5c-37abb72ef23b · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:56:06.158379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T02:35:40.593397Z digest=sha256:cb1bd4c92fdb67551b4633be3947d7ec254075b25e1e21865e6c3fc5859a2978

Observation ecf3c102-d0b4-4cae-87bc-d2f98129764b · inbound

GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks cites this paper.

GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:22.983745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T20:09:27.206004Z digest=sha256:fa02c6db4e4bf4d521338edf02f4cdc3dfc87d41e4f6b9dfa261cf9153a5fabc

Observation fd4c1196-1d60-4b87-8e5b-01ddd0269bd3 · inbound

Mixture-of-Experts Transformer for Automatic Modulation Recognition cites this paper.

Mixture-of-Experts Transformer for Automatic Modulation Recognition A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:27:34.598122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T15:57:35.464420Z digest=sha256:09c82264f9ab1828f2a939842db8e4660f76e8cc1fb6e486cf3d23f99496d8f7

Observation 5be67352-17f4-4177-872c-7b6171cf9c44 · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 67

Resolution
unresolved
no resolver link, observed 2026-07-12T01:22:51.284207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:22:51.284207Z digest=sha256:354359b81b433b2c9c65f8d856d7d0b51289fd95687cdfd99d33dd319795ce96

Observation d74d8302-7498-4985-ae80-87f45d4524e2 · inbound

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation cites this paper.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T06:46:58.358941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:46:58.358941Z digest=sha256:7be8f15dd2dfe5e7172cb68c9a90a4a2cd26bb43ddd2b17c425f8127b6813acc