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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:12ccf976f7f2b0ccfcf8bee859232b1248ee50c43a3384b442e6045ec2bda110

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:a2f1c378e6ce0d11d95bb636a34148f3d97dc78de81668fc39aa6706aa04b77d

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=sha256:451149718ec57fcee433f50f87576ab2803c1e0899217fad43b87aca934a4500

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:fe767072cc2b95e42e09189f370216cf0614fd8cee48023648d43b6fe13a424b

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:acdd517eea03a4b7665abe355e9ea45198360921a98e3f11832feb896a0d478f

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:cbff258bae1bb21392a9f9e98b58648f7de2b22062c910e2238305a80aec2cf1

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:badedb4792a74e11a0eba834bf878b5e0ee49325681880bd5f6e0e4828e0756b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.321956Z digest=sha256:26d12b6ce28a5e465a1fc17d9828785e6f4ec888735f3db20071caccac577af9

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:b7c4f4ce35c61dc42356ac73d04a576d315d4419e0db21e94bfabf8e5283c0dd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.330688Z digest=sha256:89b0dec3769835beea53dda5900dd2814734465c9ebaab86eaeeb27b21189727

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.335026Z digest=sha256:11490aeac71e463cbcea3eeec88bc92c39cda3a0da02cd6af680e65744e55c50

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=sha256:894fe47835a05ee90a34521e84d39609dae18a7d70250c82c21c7d05fcbbd0e2

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=sha256:2b6f8b836de8cdc67ee80a5beae371916fc01abad5e6757e7609e153a182db3f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.347413Z digest=sha256:6d5065844d547a66cea4765bc1ca1695594fb0c05ec02f73c4901d73dd1aa1fa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.351587Z digest=sha256:960e7f0113fd1f20c2d05b8d878c22ca94b93101bdb6d8a4d4bf2399cfbd821a

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=sha256:86cc18a999a4237b2bf27418e5441d224a0518f1cbc806941bdd6288682b2892

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=sha256:0a14c0b5bdd489f97a79c14dafab6769463a76d612453799c222ea5ad9f308d9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.364135Z digest=sha256:84a6393f972c69c962c74bfc328b8354970b62f82f4a643cbd0bed5e56ee0678

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=sha256:2648cf19ef7b25014ad5f51e41f68c2cd1960b85838ccf14fa71f6f039626056

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.372099Z digest=sha256:abea17a0685d2aa40e773f4df34fae6ee8c7a7adea8322e9e0dff2cd5c642629

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:c5607baf44bced96b10719fdff43bb9372129d1cd11313e489e166f3f4107d9c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.379830Z digest=sha256:25c303e5183b0ee87c47d0a2205d0b35c71d18d0c38f88e0985edbfe8a5cb62a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.383548Z digest=sha256:35189bd3b1b74eaa663608a206baf282bac7d149fcbc7702be6a901f5290ab77

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:e57e4c89e9c35dcd3e0a41e2b938825e031d1a3a3c8451eb9e45a8c10d8b3e83

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.391312Z digest=sha256:f6820dab47cab6e6c42bf5f5be2b377facd52d8d87127825008004b6c61bee2d

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=sha256:4d8d652f9c9e75bbbc8608aa0472aaf0ff1a4d97067a5ebec73ca1b95640515d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.399510Z digest=sha256:8b60c18e84caa33a5ea522cd6952be135c64fc294a4789390eb383ddf5f743fa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.403178Z digest=sha256:3615a23c0c6405d2c4f110b5ef7ac68dc49500eb5063fabfef730551b136349c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.406883Z digest=sha256:8fca4899b76a7b668b0eedcf279ba1cf106d293376c4af40dc467eb18288db11

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T01:04:59.290467Z digest=sha256:253c259674b28fc0b69451d5c53e7a80d71376791372bb295309fbcc9d8f1fa7

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:cf96ccf52f233edc869ad14b03722e005b12e9bd7090bfc16ca67ffe37a7f44c

Pith citing papers

No inbound Pith citation observations are available.