Paper Citation Record · LEDGER

Domain Adaptation of Foundation LLMs for e-Commerce

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2501.09706.

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

pith.paper-citation-record.v1
2501.09706 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:48:29.994325Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:03:15.389641Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:51:06.807535Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy2
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 179ea18c-fd67-4d77-a3ad-af1391cb63b7 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Domain Adaptation of Foundation LLMs for e-Commerce Gemini: A Family of Highly Capable Multimodal Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.011574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef28ac6f-3b88-4821-bd02-425ae420839a · outbound

This paper cites an unresolved cited work.

Domain Adaptation of Foundation LLMs for e-Commerce Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T19:48:30.560171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a903092-4e81-4c43-95f1-d868f1c4bf08 · outbound

This paper cites Jiang, Jia Deng, Stella Biderman, and Sean Welleck.

Domain Adaptation of Foundation LLMs for e-Commerce Jiang, Jia Deng, Stella Biderman, and Sean Welleck

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:48:30.524138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6aadac69-c594-4255-b432-79266e372ad8 · outbound

This paper cites Language Models are Few-Shot Learners.

Domain Adaptation of Foundation LLMs for e-Commerce Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.025844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3edce4-6ebf-4f82-909b-e86cc0d74e37 · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Domain Adaptation of Foundation LLMs for e-Commerce MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.030358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946ee051-e167-4a8b-8c82-94d559d88043 · outbound

This paper cites SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain.

Domain Adaptation of Foundation LLMs for e-Commerce SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.053368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb8cba4-19f5-4998-9517-582985c7ba58 · outbound

This paper cites SaulLM-7B: A pioneering Large Language Model for Law.

Domain Adaptation of Foundation LLMs for e-Commerce SaulLM-7B: A pioneering Large Language Model for Law

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.134624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf6f41b6-c032-4300-a01b-d999cc9cce83 · outbound

This paper cites The Llama 3 Herd of Models.

Domain Adaptation of Foundation LLMs for e-Commerce The Llama 3 Herd of Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.199772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184b77f7-8f81-4a84-a743-7d7f7003807a · outbound

This paper cites USP: A Unified Sequence Parallelism Approach for Long Context Generative AI.

Domain Adaptation of Foundation LLMs for e-Commerce USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.233397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2192c9f2-5495-4056-ac35-5907aa2b9598 · outbound

This paper cites an unresolved cited work.

Domain Adaptation of Foundation LLMs for e-Commerce Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.237022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbe5f455-b823-4d45-876e-b3c129c54753 · outbound

This paper cites an unresolved cited work.

Domain Adaptation of Foundation LLMs for e-Commerce Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.240074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87c7f49-1012-4ef2-b690-7cd4afa1efc7 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

Domain Adaptation of Foundation LLMs for e-Commerce OLMo: Accelerating the Science of Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.243771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9f3f51e-c284-4f2e-b6ec-0c2672828d61 · outbound

This paper cites Continual Pre-Training of Large Language Models: How to (re)warm your model?.

Domain Adaptation of Foundation LLMs for e-Commerce Continual Pre-Training of Large Language Models: How to (re)warm your model?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.247682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b65f2d2-cd7c-486f-bec7-c6929416e183 · outbound

This paper cites LiLiuM: eBay's Large Language Models for e-commerce.

Domain Adaptation of Foundation LLMs for e-Commerce LiLiuM: eBay's Large Language Models for e-commerce

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.251593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 499cf5e9-48c4-4314-8729-ddd3b9d44798 · outbound

This paper cites Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timoth \' e e Lesort, and Irina Rish.

Domain Adaptation of Foundation LLMs for e-Commerce Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timoth \' e e Lesort, and Irina Rish

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:48:30.422413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e689c698-bf0c-4cdf-b042-ef225fb447a8 · outbound

This paper cites Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman - Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur - Ari, and Vedant Misra.

Domain Adaptation of Foundation LLMs for e-Commerce Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman - Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur - Ari, and Vedant Misra

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.337139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7746b2cc-243c-48ad-88bb-2bc5ed4eeb23 · outbound

This paper cites an unresolved cited work.

Domain Adaptation of Foundation LLMs for e-Commerce Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.387432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ebbab8-2774-4283-97cd-e9e6c9d84628 · outbound

This paper cites an unresolved cited work.

Domain Adaptation of Foundation LLMs for e-Commerce Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.428660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3725edd-e84f-4b53-add0-b1043248636d · outbound

This paper cites an unresolved cited work.

Domain Adaptation of Foundation LLMs for e-Commerce Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.445745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4f67ac1-41d5-4ce5-80b6-9b2f72236a0b · outbound

This paper cites GPT-4 Technical Report.

Domain Adaptation of Foundation LLMs for e-Commerce GPT-4 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.450327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58f3b245-9a81-4990-b39c-1a27157bee2c · outbound

This paper cites Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models.

Domain Adaptation of Foundation LLMs for e-Commerce Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.454573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7244c7-83c1-4412-b91e-3751ff7462e8 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Domain Adaptation of Foundation LLMs for e-Commerce The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.458583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269f888f-b8f5-40ab-a0a3-5abc1827c636 · outbound

This paper cites eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.

Domain Adaptation of Foundation LLMs for e-Commerce eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.462595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8cebed3-05b6-4605-b4da-92b91feae4e4 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Domain Adaptation of Foundation LLMs for e-Commerce GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.503344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acaa966-87c9-494e-ac4b-ef2266a53490 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Domain Adaptation of Foundation LLMs for e-Commerce Code Llama: Open Foundation Models for Code

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.606895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a14626-4fca-4997-9aab-76c612b3afcf · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Domain Adaptation of Foundation LLMs for e-Commerce DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.680635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014f9c21-206d-427b-9407-2a1f5d4ba31d · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Domain Adaptation of Foundation LLMs for e-Commerce Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.697212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f701475-25fc-48ec-98af-3dc1e663e774 · outbound

This paper cites MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning.

Domain Adaptation of Foundation LLMs for e-Commerce MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.701704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfcacde6-05fc-4e24-8076-b7417dd6e3bf · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Domain Adaptation of Foundation LLMs for e-Commerce Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.704958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87afcac5-f3eb-4eaa-a571-e5191c3d8801 · outbound

This paper cites ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change.

Domain Adaptation of Foundation LLMs for e-Commerce ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.708601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ccd134f-7a5a-4f3a-8a4f-211929441bf7 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Domain Adaptation of Foundation LLMs for e-Commerce MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.712295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c41cac-be0d-4006-aa41-43fba34fe4fd · outbound

This paper cites Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, and Ludwig Schmidt.

Domain Adaptation of Foundation LLMs for e-Commerce Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, and Ludwig Schmidt

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.715748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51289995-f039-465d-b8ef-8ef31f32b35e · outbound

This paper cites Me LLaMA: Foundation Large Language Models for Medical Applications.

Domain Adaptation of Foundation LLMs for e-Commerce Me LLaMA: Foundation Large Language Models for Medical Applications

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.719990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37804654-e54c-4506-8c4e-900718b27804 · outbound

This paper cites an unresolved cited work.

Domain Adaptation of Foundation LLMs for e-Commerce Unresolved cited work

Reference 34

Resolution: verified exact; doi, observed 2026-08-10T19:48:30.055922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4442c83a-2b36-4912-a886-b9d3febb6920 · outbound

This paper cites online" 'onlinestring :=.

Domain Adaptation of Foundation LLMs for e-Commerce online" 'onlinestring :=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.947340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d2776e5-0120-4a17-ab28-2ccef861ed95 · outbound

This paper cites write newline.

Domain Adaptation of Foundation LLMs for e-Commerce write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:29.994325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3931d045-c44c-411e-9261-e13d36be739a · inbound

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation cites this paper.

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation Domain Adaptation of Foundation LLMs for e-Commerce

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:06.809718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2156b191-ede9-4a38-8778-c22c144701a0 · inbound

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation cites this paper.

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation Domain Adaptation of Foundation LLMs for e-Commerce

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:00:54.925757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.