Paper Citation Record · LEDGER

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring

As of 12 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2412.21065.

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

pith.paper-citation-record.v1
2412.21065 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:34.334979Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

10 of 10 outbound references displayed

verified exact1
verified fuzzy4
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18191655-5a7c-4033-99ed-5ff4c743f45c · outbound

This paper cites German's Next Language Model.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring German's Next Language Model

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.294336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf7a643-6bae-4318-ba47-98089a1e3d4e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.299907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e544f883-a82a-49d1-b893-c634df89739b · outbound

This paper cites Automated scoring for reading comprehension via in-context bert tuning.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring Automated scoring for reading comprehension via in-context bert tuning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:34.484027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d8d05e3b-dc52-4922-ab47-9f5def9f565c · outbound

This paper cites LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.309493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f904f6-bd5c-4044-af40-dbda2c994db8 · outbound

This paper cites G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.313775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab958f21-991a-48c1-8e57-9cea028c5278 · outbound

This paper cites Context matters: A strategy to pre-train language model for science education.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring Context matters: A strategy to pre-train language model for science education

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:34.468306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec826e64-62e9-4e61-af67-5dc11b78c7de · outbound

This paper cites Pisa 2015 results (volume i): Excellence and equity in education.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring Pisa 2015 results (volume i): Excellence and equity in education

Reference 7

Resolution: verified exact; doi, observed 2026-08-10T23:21:34.369107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c89dcf97-afb8-4465-9428-9b744b951d2c · outbound

This paper cites Transformers: State-of-the-art natural language processing.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring Transformers: State-of-the-art natural language processing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:34.452988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1141effc-935e-45d5-af83-ff53c74638b0 · outbound

This paper cites Applying machine learning to automatically assess scientific models.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring Applying machine learning to automatically assess scientific models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:34.438854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f090a718-778b-461d-b209-45b1fc8c6f7a · outbound

This paper cites LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.334979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.