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Paper Citation Record · LEDGER

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains

As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2412.00549.

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

pith.paper-citation-record.v1
2412.00549 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:19:25.395710Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da4baaf4-4574-4a75-963a-a42087f41849 · outbound

This paper cites online" 'onlinestring :=.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.331834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.331834Z digest=sha256:13b2e3ecb7f9e2c112951c68b7e380a501f35c0ff4adec89a708f8340dd67789

Observation c50a7428-7b65-49a9-9867-12440a15b731 · outbound

This paper cites write newline.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.337497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.337497Z digest=sha256:47507485da64a4f5585a18ffe419af7c6e54c2c7723ee70a11daeabe7ce47d56

Observation 28dd4b91-850e-45b4-87fc-86d14745d22f · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains Gemma: Open Models Based on Gemini Research and Technology

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.342658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.342658Z digest=sha256:e047a09fcff18907ade21730fe0ee18abf8cfa877067a2f8b79c207ce162e583

Observation 1b8df6d8-7394-4a06-8eec-192b5541676b · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains LoRA: Low-Rank Adaptation of Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.348042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.348042Z digest=sha256:414242b12a1fed16dc02f267d5ab370c37ede1d6f1334af19d0fc994caf73016

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.353215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.353215Z digest=sha256:22a6363f758666f36091104ce1bb1053409301609a2177da9142bb923e13d3e0

Observation 1ad560ce-9b8b-49e8-9cbb-199a4684fc3d · outbound

This paper cites an unresolved cited work.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.358494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.358494Z digest=sha256:94ec11f904c4017a1e42104b6495598568cac8a3832b0eb39b4037aa461cbbad

Observation ccfe5ee6-c518-4362-a9f2-c41e1cac7c69 · outbound

This paper cites FMDLlama: Financial Misinformation Detection based on Large Language Models.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains FMDLlama: Financial Misinformation Detection based on Large Language Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:19:25.529258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T05:19:25.363119Z digest=sha256:12a151eaf94f57e08b0fd374fd72f7ef856180fda82ac496fcd33531a25e7fff

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.368056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.368056Z digest=sha256:6c519a2c8d1cc21970b03ece0bd1ae50b8e15645e5fcbe0e2fa77c9ef186b049

Observation 136c0740-bc1c-44cc-9517-da86b6ab43eb · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.373644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.373644Z digest=sha256:e75b1ba0f74e3e3847106188e84550f0333f57c42aba968d647f1e34daa4d300

Observation 789542b1-cf48-464e-a300-50bafad5b18f · outbound

This paper cites an unresolved cited work.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.378689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.378689Z digest=sha256:0a1b6ecf9724705b17f103872912a57d5e0a7abc9ff59f249ca65cc09a9929ca

Observation 9881874a-ba7a-4bb8-8eaf-c66b26f033ff · outbound

This paper cites Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.382778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.382778Z digest=sha256:43d487ee96ebd8f03065290a9fb95eb4d7daa5c633fd88035402658c27944819

Observation 2098d3a5-c38b-4941-80ae-9e901a381411 · outbound

This paper cites an unresolved cited work.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.387041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.387041Z digest=sha256:e2d40a535a269788023729a2f521a9210c3c485ff8bb151fbe5ff120b64ae541

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.391464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.391464Z digest=sha256:3c9198892b989dbb84406ef2faa4673ce5fa4e2c783aaa6de0d97e804a580cac

Observation c1f43e87-9d24-4a83-a091-2fa671b98eab · outbound

This paper cites PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T05:19:25.395710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:19:25.395710Z digest=sha256:59e06893421eb5124a61fcdb0ce3d3d9cd1a053292b11115f1a90f330c64ddfb

Pith citing papers

No inbound Pith citation observations are available.