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Paper Citation Record · LEDGER

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.03063.

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

pith.paper-citation-record.v1
2608.03063 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T01:04:59.406883Z

measured 31 of 31 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

31 of 31 outbound references displayed

  • verified exact5
  • verified fuzzy2
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4d2c65e-0f03-4b83-85af-4a24d21d950b · outbound

This paper cites Bruce Croft.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Bruce Croft

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.281265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.281265Z digest=sha256:3d155bb737e15e50e441653123578d89dc4181fb12952e94a63497d6326a90b3

Observation 5dea4c9a-912e-4ead-ab4f-95b571729d1d · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.286303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.286303Z digest=sha256:1a43a048e4222741e55361ddab639a4fdfb81b19d15b807c08f9092542257588

Observation b3cf4af5-8ffb-42af-8fe6-45a03ba1a8ee · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.294869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.294869Z digest=sha256:6eb17186b25241b64ba6cb8e365baf7efa55151aa8e5b6e64dc82664a6ec1a12

Observation cd734031-b00f-41bc-ba9f-c56ff77b12e5 · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.299385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.299385Z digest=sha256:cd759d54da44902d250ba94b0cac4c3b4887d2abaa8c673bcfae34e57b721349

Observation b48b1323-534d-457c-9f94-147f8f8963a8 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.303733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.303733Z digest=sha256:7fa7f982c13fd5d05adfd7b14979e8d5a81f529286134dbb345dcc0d119cb670

Observation 4ce9745b-269e-42a5-be05-b333c520b2f3 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Measuring Massive Multitask Language Understanding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.308664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.308664Z digest=sha256:4a8aa3df2cd8e98e1fe2204741c2fa846b71faee17865d4c8548ac4cba4ad141

Observation 8d3f6803-9431-4068-a6aa-0d5663454b6a · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.313526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.313526Z digest=sha256:45e7fa26600d374e4205559fbc0e25df14f07dae8ef099b5493c2078e215c919

Observation 9047c82b-36f4-409f-bfb4-1ac62ac1a672 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-08T01:05:00.244574Z

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=pdf_text observed=2026-08-08T01:04:59.321956Z digest=sha256:5bef6fc1d0f6a251130e0c784228ec1e8da98e63dedcfca2572b77b6e7b5c1f7

Observation 56afef78-672d-49d3-8942-9930d0fefce6 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.326218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.326218Z digest=sha256:b6a63207ba95f0332bbcc8c5c3972329caa2774ce3fdb3058ff5a49cc7f99c17

Observation 3da45998-55a0-4522-825c-cdeaf7539a09 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-08-08T01:04:59.683358Z

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=pdf_text observed=2026-08-08T01:04:59.330688Z digest=sha256:bc2d92dd4d58d17d1d98eac3d3b0b52a616b485851bf6369c8587ca0afb1dcaf

Observation 9cc32a4d-4713-4e19-89c6-0449d7c5f5bc · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-08T01:05:00.231155Z

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=pdf_text observed=2026-08-08T01:04:59.335026Z digest=sha256:ff9a7b807c4922022efaee69b5d57209a6a048b90ef1998902ddca8d19c0e5f6

Observation f96127f6-8917-403a-b144-135573bdfb55 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.339264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.339264Z digest=sha256:de023f28367ad100355a2fd5cb8e9d8028248339f964449a789b9a8818e94a69

Observation 6abe9c5c-8f40-4107-80b8-95e9c8237c48 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.343429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.343429Z digest=sha256:f3cee815f63e731c37633e756eccda82cc8906b129de56dde3c91f65624d3f07

Observation 04a46d1d-20b0-4fdc-8cef-7ab8063adc4d · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 14

Resolution
verified exact
doi, observed 2026-08-08T01:04:59.616573Z

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=pdf_text observed=2026-08-08T01:04:59.347413Z digest=sha256:41bd931ff466aef828bddb4d9e71cf9d0b6f8b50eadafaf75038cf6cecf7aa66

Observation f80b1bf0-cbce-4dcb-b0b0-367364f63e40 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-08T01:05:00.201691Z

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=pdf_text observed=2026-08-08T01:04:59.351587Z digest=sha256:e0d84f77df18d0d34d61484bc27bf1ae67dc875c9d9df7ff7b7e13bfe6ad1d2e

Observation 67b04bb8-1f2c-4692-acdd-49d7ee177823 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 16

Resolution
malformed identifier
no resolver link, observed 2026-08-08T01:04:59.355690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.355690Z digest=sha256:299342192ed82a276c5d809ae2b974f9d477ed64a510775ec462c4dc6eaee6b0

Observation 82d0a6c6-8815-455a-856a-194c8849fa13 · outbound

This paper cites A Comprehensive Survey of Data Mining-based Fraud Detection Research.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay A Comprehensive Survey of Data Mining-based Fraud Detection Research

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.359966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.359966Z digest=sha256:da9625c54ee6b252bf54f22403e7645747a360c3c400d73be862eb82917d2855

Observation 5180e412-edae-4074-997b-adb1b1ad92af · outbound

This paper cites Tran, Jonah Samost, Maciej Kula, Ed H.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Tran, Jonah Samost, Maciej Kula, Ed H

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:05:00.187621Z

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=pdf_text observed=2026-08-08T01:04:59.364135Z digest=sha256:74f97463ee7e9db2bd37e8044ac1067db9e8834993672cb933da0a71204a5cb5

Observation 2cdb3f2a-0782-4db2-988f-356fe73b88a4 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.368185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.368185Z digest=sha256:774d8064f906742ddd183ac78951c0e310cff0d222aee694b9331b53a812b1b5

Observation bfcfe63d-29db-4034-9ba0-3fed84853605 · outbound

This paper cites A Comparison of Supervised Learning to Match Methods for Product Search.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay A Comparison of Supervised Learning to Match Methods for Product Search

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-08T01:04:59.785709Z

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=pdf_text observed=2026-08-08T01:04:59.372099Z digest=sha256:4501f2b04fc428f45ed078b478c657a8ad57591b809bd0fbd8c57a420d4bdb9e

Observation ac5e96d0-0cfc-4fae-b7ec-cdad74097755 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.376189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.376189Z digest=sha256:3e459ae38461a0f5fcb00ca1bce81d09d401db2b6e69284737ecda4a1c6123ab

Observation 10f8b756-6ab5-4dad-8b99-fdd0b7cd7e98 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 22

Resolution
verified exact
doi, observed 2026-08-08T01:04:59.550927Z

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=pdf_text observed=2026-08-08T01:04:59.379830Z digest=sha256:9b2367cb7a5199653526f823fa225c9be49e481bede59bcb47eea16df3182c0a

Observation 2baa50f4-fe73-4b2d-9a96-0f32d779dfb6 · outbound

This paper cites OneReason Technical Report.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay OneReason Technical Report

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-08T01:04:59.459400Z

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=pdf_text observed=2026-08-08T01:04:59.383548Z digest=sha256:dbbbfd0e7542490555ee174a4506b7ac794eace46c0a0329802979145b936ac9

Observation 8185959d-e477-4ba8-9791-59f49b0c28d6 · outbound

This paper cites Qwen3 Technical Report.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Qwen3 Technical Report

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.387597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.387597Z digest=sha256:c19d769b2924fff81630a4aedb68b8eae418643a7b6da56266e8de152f1ff046

Observation 27081098-5dd4-4bf4-8447-fdb582d63d26 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-08T01:05:00.166179Z

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=pdf_text observed=2026-08-08T01:04:59.391312Z digest=sha256:ed833c995169201d510afb7935b103eaaffcbffd852b14e053637f4abbe12e1b

Observation 4b338336-aebc-4090-8238-bdb6bd590156 · outbound

This paper cites Sequential Recommender Systems: Challenges, Progress and Prospects.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Sequential Recommender Systems: Challenges, Progress and Prospects

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.395345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.395345Z digest=sha256:bc4da04bd931a578571364524ccb34c0494031104d9701933ac93260175a870a

Observation e22a5100-f728-44ff-85f9-65b760179a07 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-08T01:05:00.152431Z

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=pdf_text observed=2026-08-08T01:04:59.399510Z digest=sha256:3f96aa56a1ff4182b74ff01bccb67f1a3bf5d8b1b78465c93f2cb0bc9f48021f

Observation a97fa2d8-61c2-4962-a683-e630f2a79824 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-08T01:05:00.139241Z

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=pdf_text observed=2026-08-08T01:04:59.403178Z digest=sha256:30f6f9d86070fb70bb71bd1603be0d5cec6898eeb968e2f659f58748cef44641

Observation 05e7e9e7-5005-46b9-a056-3aadf3b4320d · outbound

This paper cites pets / cute animals.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay pets / cute animals

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T01:05:00.125842Z

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=pdf_text observed=2026-08-08T01:04:59.406883Z digest=sha256:43f67fb84a5752b41c8b8027997be796e81ff5054097239dd5489725239cfe55

Observation 4e3bfef9-ce55-4556-a643-3a526a2d4827 · outbound

This paper cites an unresolved cited work.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Unresolved cited work

Reference 2013

Resolution
unresolved
raw_fallback, observed 2026-08-08T01:05:00.274731Z

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=pdf_text observed=2026-08-08T01:04:59.290467Z digest=sha256:74c1bc569df42fc69fed2b82b2680eb7b54996981c0c8aa237d2cae6e97edd0f

Observation 273670f5-a4c4-4ef9-9fbe-76b88b928f0a · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay Session-based Recommendations with Recurrent Neural Networks

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-08T01:04:59.317672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:04:59.317672Z digest=sha256:c05a268387f4036eaca8cd00474eebe8dfbed077817e9b8db8e594ff4c749e77

Pith citing papers

No inbound Pith citation observations are available.