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Paper Citation Record · LEDGER

Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.15011.

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

pith.paper-citation-record.v1
2305.15011 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:23.764524Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T04:55:24.798132Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a758e367-0b03-4565-9a19-2b19de454e23 · inbound

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought cites this paper.

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:55:24.801038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T04:55:04.067483Z digest=sha256:7f5ab9445512a661408c21242e7a34eb4cae9b085392275cd0d280c1d74b2a1a

Observation 1b0905ff-7c9e-4a35-85b7-d8ceb7be7478 · inbound

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning cites this paper.

CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:23.764524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:02:23.764524Z digest=sha256:36f1707aee2d76b92fd3ff9696854b448cedb8e6ec85b2fb81681aec830943ed

Observation eae70508-53bd-413e-b9d8-b230062c1f75 · inbound

MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP cites this paper.

MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:47:01.945961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:47:01.945961Z digest=sha256:24918e205db40c9468561f737695b00615dbd101fd912165539fc52592bcc38e

Observation cf96891d-e445-465d-9e6c-c2a5e7f533bc · inbound

Text2Cypher Across Languages: Evaluating and Finetuning LLMs cites this paper.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:15.901614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.901614Z digest=sha256:463eafec5ce76c9108a3c6a61b13c9a64e5103c9a1019c16b24fabd5cee2820a

Observation ca07296e-db4d-4a20-91bf-b505bbf5ab05 · inbound

FLEXITOKENS: Flexible Tokenization for Evolving Language Models cites this paper.

FLEXITOKENS: Flexible Tokenization for Evolving Language Models Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T05:12:05.165448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T05:10:19.093601Z digest=sha256:5ae867f1cf51e0aa5a5864bb119eb6e1820181936b31cbf7f195b433ea5a19b4

Observation 0bec0381-8bd1-4d22-9967-9a64de5ce8a4 · inbound

LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish cites this paper.

LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T11:06:08.166631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:06:08.166631Z digest=sha256:9b0552110c05c758883a0a454c5e97978b4e82a6e302f0db55cdc61d2695f61d

Observation b31228a1-0240-4f77-a755-7ef207e210c2 · inbound

IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems cites this paper.

IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T23:47:54.905730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:47:54.905730Z digest=sha256:a3a6f02e13f4f05becab8681129f089c3dadeef51388619d27888f1b2f6ad379