Paper Citation Record · LEDGER

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering

As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.19482.

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

pith.paper-citation-record.v1
2412.19482 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:24:26.936659Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy18
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0248d3c7-530b-4584-b337-1c8e4031b614 · outbound

This paper cites Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T00:24:26.827023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855b079c-bc0f-44d7-8369-ca97297105b0 · outbound

This paper cites Experiments with convolutional neural network models for answer selection,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Experiments with convolutional neural network models for answer selection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.325587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cfb4bf79-d1ac-4350-9db8-75bd8f42e12c · outbound

This paper cites Knowledge-aware attentive neural network for ranking question answer pairs,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Knowledge-aware attentive neural network for ranking question answer pairs,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.310354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a77c7b34-e4b6-4a28-887e-65d3528ac81c · outbound

This paper cites Re-ranking answer selection with similarity aggregation,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Re-ranking answer selection with similarity aggregation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.294956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54f7956f-70e3-4566-9b01-91d54fd51d29 · outbound

This paper cites Reranking for efficient transformer-based answer selection,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Reranking for efficient transformer-based answer selection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.278825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b83b7750-b8e6-45c2-acbf-337657bebd1c · outbound

This paper cites Question similarity in community question answering: A systematic exploration of preprocessing methods and models,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Question similarity in community question answering: A systematic exploration of preprocessing methods and models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.263383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a1734601-4ead-489b-9125-02a8ab4b5627 · outbound

This paper cites Jaist: Combining multiple features for answer selection in community question answering,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Jaist: Combining multiple features for answer selection in community question answering,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.247573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eee1365f-5ace-4d24-9496-6f75cd3efd70 · outbound

This paper cites Automatic feature engineering for answer selection and extraction,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Automatic feature engineering for answer selection and extraction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.232164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e43cb97c-3566-433b-986a-dcf00ff88c13 · outbound

This paper cites Few-Shot Question Answering by Pretraining Span Selection.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Few-Shot Question Answering by Pretraining Span Selection

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:24:27.008411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80af4f47-b3dc-4899-bb4c-856347786c0a · outbound

This paper cites Deep learning-based question answering: a survey,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Deep learning-based question answering: a survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.216546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c35df94d-095d-4e8e-8474-b345addba592 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:24:26.876301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c8790c7-19ab-488a-b5ce-71489db9ff39 · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Roberta: A robustly optimized bert pretraining approach,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.190779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e5903e0-f20f-44fe-89ab-4f9dd0470a95 · outbound

This paper cites Span Selection Pre-training for Question Answering.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Span Selection Pre-training for Question Answering

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T00:24:26.885457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efaca9c8-89aa-4ea4-8b8f-b4d6c1a5de93 · outbound

This paper cites Question answering infused pre- training of general-purpose contextualized representations,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Question answering infused pre- training of general-purpose contextualized representations,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.174776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c6c8f0c-f092-4f03-a0b3-8fb21d634cff · outbound

This paper cites Contextual mask auto-encoder for dense passage retrieval,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Contextual mask auto-encoder for dense passage retrieval,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.158631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac91da01-f2e6-410d-a797-b3d12be8348d · outbound

This paper cites Circle loss: A unified perspective of pair similarity optimization,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Circle loss: A unified perspective of pair similarity optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.143269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b8a3120-b5ef-4cc3-9cb8-c1fc2d15983f · outbound

This paper cites Applying deep learning to answer selection: A study and an open task,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Applying deep learning to answer selection: A study and an open task,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.127800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2840369a-27ef-4fb0-9fd6-c919be4032cb · outbound

This paper cites Lawformer: A pre-trained language model for chinese legal long documents,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Lawformer: A pre-trained language model for chinese legal long documents,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.112636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 156d9774-d03a-43a3-b6b1-81bb5f35d2d1 · outbound

This paper cites Dense passage retrieval for open-domain question an- swering,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Dense passage retrieval for open-domain question an- swering,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.097469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de5421f2-17de-4407-a11a-395a73228f35 · outbound

This paper cites Colbert: Efficient and effective passage search via contextualized late interaction over bert,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Colbert: Efficient and effective passage search via contextualized late interaction over bert,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:24:26.917704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003ddc40-d244-456a-bc7d-f72a67433d0a · outbound

This paper cites SimCSE: Simple contrastive learning of sentence embeddings,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering SimCSE: Simple contrastive learning of sentence embeddings,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.072810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1af06373-5851-45c4-8c56-3b47c6649b9f · outbound

This paper cites The stem cell hypothesis: Dilemma behind multi- task learning with transformer encoders,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering The stem cell hypothesis: Dilemma behind multi- task learning with transformer encoders,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.056366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 96726bb8-a597-42b3-8771-9accf11a49d5 · outbound

This paper cites Decoupled Weight Decay Regularization.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Decoupled Weight Decay Regularization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T00:24:26.931951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fbad2a4-ae55-48bd-86ba-bbacb5a2c5e8 · outbound

This paper cites Stochastic gradient descent tricks,.

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering Stochastic gradient descent tricks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:24:27.040469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.